Our Team the company is building the world's most trusted information network for financial professionals. We protect the company. We partner with internal departments to ensure the confidentiality, integrity, and availability of the company systems and the data we process. We aim to ensure that our clients see us as a trusted partner. Our Chief Information Security Office (CISO) owns the technical aspects of this mission by ensuring the company products, systems, networks and commercial applications are built and maintained with security in mind. What's the role? We are seeking a Product Security Engineer to help ensure that the company software is built securely. You will be responsible for building and maintaining automated security capabilities across the software development lifecycle. You will also engage with engineering partners to provide remediation guidance and enhance security testing to deliver high-fidelity, actionable results. As a member of the Product Security Enablement team, you will help provide automated security testing solutions for the company, including SAST, DAST, SCA, Secret searching and LLM-based assessments. Our team's goal is to create preventative security capabilities that integrate into development pipelines and help detect issues early in the software development lifecycle. An engineering skillset is required for this role. You will be responsible for prototyping new tools, integrating security testing tools and capabilities into the software development lifecycle, and developing custom security capabilities to deliver scalable testing solutions to our engineering teams. This role will routinely challenge your technical background and critical thinking. You will be expected to collaborate with different stakeholders in a fast paced environment across many technology stacks and services. We'll trust you to: Partner with engineering stakeholders to understand the company's development landscape and security needs. Develop automated security solutions that integrate into development pipelines. Maintain and enhance existing security automation processes and security capabilities. Understand and research technical details of core technology stacks and develop or enhance custom code analysis queries. Communicate vulnerability landscape and work on mitigations with stakeholders across the business. Actively monitor the latest news and trends in automated security capabilities, secure development, and AI-assisted security workflows. Develop and enhance operational runbooks. Perform ad hoc vulnerability discovery, including code review and static analysis for key engineering teams, applications and services. Build or adopt new security capabilities to address issues at scale, such as Software Composition Analysis, Secret searching, and other automated security testing techniques. Use LLMs and AI-assisted workflows as part of security assessments, vulnerability research, secure code review, developer enablement, and security automation. Explore, evaluate, and build automation using modern LLM tooling and integration patterns, including custom skills, MCP servers, agentic workflows, retrieval augmented workflows, and integrations with development and security tooling. You'll need to have: A strong core engineering background with a proven track record. 3+ years of experience in software development. Strong programming experience, with working knowledge of at least one of: C/C++, Python, JavaScript/TypeScript. Knowledge and experience with DevOps and software used in development pipelines (e.g. GitHub, Jenkins). Working knowledge of build systems, package managers, and development tooling (such as CMake, npm, Maven, Gradle, etc). A core understanding of common security vulnerabilities, such as OWASP Top 10 issues and language specific vulnerabilities. Experience using, evaluating, or building with LLMs or AI assisted tooling in technical workflows. Ability to combine technical knowledge with an understanding of core aspects of an information security program. Motivation to keep up with latest trends and techniques in the information security community. Excellent written and verbal communication skills. We'd love to see (not required, but nice to have!): Experience or familiarity with running, maintaining, and customizing static analysis security testing tools such as CodeQL and Semgrep. Broad familiarity with programming language ecosystems and frameworks, particularly C++, JavaScript/TypeScript, Python, Java as well as modern systems and infrastructure languages such as Go and Rust. Experience using LLMs or AI assisted tools for security assessments, vulnerability research, secure code review, developer enablement, or security automation. Familiarity with LLM automation concepts and tooling, such as custom skills, MCP servers, agentic workflows, retrieval augmented workflows, or integrations with development and security tooling. Knowledge of open source software component management, Software Composition Analysis, and related security tools. Knowledge of core concepts in public cloud providers such as AWS, GCP, and Azure. Familiarity with container orchestration technologies such as Kubernetes and Docker, and cloud deployment orchestration. Technical information security certifications, such as CISSP, CSSLP, or SANS certifications. Prior experience integrating security testing into DevOps pipelines. Equal Opportunity the company is an equal opportunity employer and prohibits discrimination in employment. It is the company's policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, self identified or perceived sex, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy, childbirth or related medical conditions, or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (each, a "Protected Characteristic"). the company prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics.
27/07/2026
Full time
Our Team the company is building the world's most trusted information network for financial professionals. We protect the company. We partner with internal departments to ensure the confidentiality, integrity, and availability of the company systems and the data we process. We aim to ensure that our clients see us as a trusted partner. Our Chief Information Security Office (CISO) owns the technical aspects of this mission by ensuring the company products, systems, networks and commercial applications are built and maintained with security in mind. What's the role? We are seeking a Product Security Engineer to help ensure that the company software is built securely. You will be responsible for building and maintaining automated security capabilities across the software development lifecycle. You will also engage with engineering partners to provide remediation guidance and enhance security testing to deliver high-fidelity, actionable results. As a member of the Product Security Enablement team, you will help provide automated security testing solutions for the company, including SAST, DAST, SCA, Secret searching and LLM-based assessments. Our team's goal is to create preventative security capabilities that integrate into development pipelines and help detect issues early in the software development lifecycle. An engineering skillset is required for this role. You will be responsible for prototyping new tools, integrating security testing tools and capabilities into the software development lifecycle, and developing custom security capabilities to deliver scalable testing solutions to our engineering teams. This role will routinely challenge your technical background and critical thinking. You will be expected to collaborate with different stakeholders in a fast paced environment across many technology stacks and services. We'll trust you to: Partner with engineering stakeholders to understand the company's development landscape and security needs. Develop automated security solutions that integrate into development pipelines. Maintain and enhance existing security automation processes and security capabilities. Understand and research technical details of core technology stacks and develop or enhance custom code analysis queries. Communicate vulnerability landscape and work on mitigations with stakeholders across the business. Actively monitor the latest news and trends in automated security capabilities, secure development, and AI-assisted security workflows. Develop and enhance operational runbooks. Perform ad hoc vulnerability discovery, including code review and static analysis for key engineering teams, applications and services. Build or adopt new security capabilities to address issues at scale, such as Software Composition Analysis, Secret searching, and other automated security testing techniques. Use LLMs and AI-assisted workflows as part of security assessments, vulnerability research, secure code review, developer enablement, and security automation. Explore, evaluate, and build automation using modern LLM tooling and integration patterns, including custom skills, MCP servers, agentic workflows, retrieval augmented workflows, and integrations with development and security tooling. You'll need to have: A strong core engineering background with a proven track record. 3+ years of experience in software development. Strong programming experience, with working knowledge of at least one of: C/C++, Python, JavaScript/TypeScript. Knowledge and experience with DevOps and software used in development pipelines (e.g. GitHub, Jenkins). Working knowledge of build systems, package managers, and development tooling (such as CMake, npm, Maven, Gradle, etc). A core understanding of common security vulnerabilities, such as OWASP Top 10 issues and language specific vulnerabilities. Experience using, evaluating, or building with LLMs or AI assisted tooling in technical workflows. Ability to combine technical knowledge with an understanding of core aspects of an information security program. Motivation to keep up with latest trends and techniques in the information security community. Excellent written and verbal communication skills. We'd love to see (not required, but nice to have!): Experience or familiarity with running, maintaining, and customizing static analysis security testing tools such as CodeQL and Semgrep. Broad familiarity with programming language ecosystems and frameworks, particularly C++, JavaScript/TypeScript, Python, Java as well as modern systems and infrastructure languages such as Go and Rust. Experience using LLMs or AI assisted tools for security assessments, vulnerability research, secure code review, developer enablement, or security automation. Familiarity with LLM automation concepts and tooling, such as custom skills, MCP servers, agentic workflows, retrieval augmented workflows, or integrations with development and security tooling. Knowledge of open source software component management, Software Composition Analysis, and related security tools. Knowledge of core concepts in public cloud providers such as AWS, GCP, and Azure. Familiarity with container orchestration technologies such as Kubernetes and Docker, and cloud deployment orchestration. Technical information security certifications, such as CISSP, CSSLP, or SANS certifications. Prior experience integrating security testing into DevOps pipelines. Equal Opportunity the company is an equal opportunity employer and prohibits discrimination in employment. It is the company's policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, self identified or perceived sex, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy, childbirth or related medical conditions, or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (each, a "Protected Characteristic"). the company prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics.
Senior Data Engineer Who We Are Simple Machines is a global, independent technology consultancy operating across Sydney, New Zealand, London, and Poland. We design and build modern data platforms, intelligent systems, and bespoke software at the intersection of Data Engineering, Software Engineering and AI. We work with enterprises, scale-ups, and government to turn messy, high-value data into products, platforms, and decisions that actually move the needle. We don't do generic. We build things that matter - We engineer data to life . The Role This is a hands on senior engineering role, not an architecture only seat and not a support function. You'll be responsible for technical direction, platform design and architectural decision making. You'll design and build greenfield data platforms, real-time pipelines, and data products for clients who are serious about using data properly. You'll work in small, high calibre teams and operate close to both the problem and the client. If you enjoy solving hard data problems, shaping modern architectures (data mesh, data products, contracts), and delivering real outcomes - this is your lane. What You'll Be Doing Lead Platform & Architecture Design Own the end-to-end architecture of modern, cloud native data platforms Design scalable data ecosystems using data mesh, data products, and data contracts Make high impact architectural decisions across ingestion, storage, processing, and access layers Ensure platforms are secure, compliant, and production grade by design Build Modern Data Platforms Design and deliver cloud native data platforms using Databricks, Snowflake, AWS, and GCP Apply modern architectural patterns: data mesh, data products, and data contracts Integrate deeply with client systems to enable scalable, consumer oriented data access Develop High-Performance Pipelines Build and optimise batch and real time pipelines Work with streaming and event driven tech such as Kafka, Flink, Kinesis, Pub/Sub Orchestrate workflows using Airflow, Dataflow, Glue Work at Scale Process and transform large datasets using Spark and Flink Design systems that perform in production - not just on paper Own Data Storage & Performance Work across relational, NoSQL, and analytical stores (Postgres, BigQuery, Snowflake, Cassandra, MongoDB) Optimise storage formats and access patterns (Parquet, Delta, ORC, Avro) Cloud, Security & Governance Implement secure, compliant data solutions with security by design Embed governance without killing developer velocity Consult and Influence Work directly with clients to understand problems and shape solutions Translate business needs into pragmatic engineering decisions Act as a trusted technical advisor, not just an order taker Technical Leadership & Quality Set engineering standards, patterns, and best practices across teams Review designs and code, providing clear technical direction and mentorship Raise the bar on data quality, testing, observability, and operational excellence What We're Looking For Core Engineering Strength Strong Python and SQL Deep experience with Spark and modern data platforms (Databricks / Snowflake) Solid grasp of cloud data services (AWS or GCP) Architecture & Design Judgement Demonstrated ownership of large-scale data platform architectures Strong data modelling skills and architectural decision making ability Comfortable balancing trade offs between performance, cost, and complexity Data Platform Experience Built and operated large scale data pipelines in production Strong data modelling capability and architectural judgement Comfortable with multiple storage technologies and formats Engineering Discipline Infrastructure-as-code experience (Terraform, Pulumi) CI/CD pipelines using tools like GitHub Actions, ArgoCD Data testing and quality frameworks (dbt, Great Expectations, Soda) Delivery & Consulting Mindset Experience in consulting or professional services environments Strong consulting instincts - able to challenge assumptions and guide clients toward better outcomes Comfortable mentoring senior engineers and influencing technical culture Why Simple Machines You'll work on interesting, high-impact problems You'll build modern platforms, not maintain legacy mess You'll be surrounded by senior engineers who actually know their craft You'll have autonomy, influence, and room to grow If you're a senior data engineer who wants to build properly, think clearly, and deliver real outcomes - we should talk.
27/07/2026
Full time
Senior Data Engineer Who We Are Simple Machines is a global, independent technology consultancy operating across Sydney, New Zealand, London, and Poland. We design and build modern data platforms, intelligent systems, and bespoke software at the intersection of Data Engineering, Software Engineering and AI. We work with enterprises, scale-ups, and government to turn messy, high-value data into products, platforms, and decisions that actually move the needle. We don't do generic. We build things that matter - We engineer data to life . The Role This is a hands on senior engineering role, not an architecture only seat and not a support function. You'll be responsible for technical direction, platform design and architectural decision making. You'll design and build greenfield data platforms, real-time pipelines, and data products for clients who are serious about using data properly. You'll work in small, high calibre teams and operate close to both the problem and the client. If you enjoy solving hard data problems, shaping modern architectures (data mesh, data products, contracts), and delivering real outcomes - this is your lane. What You'll Be Doing Lead Platform & Architecture Design Own the end-to-end architecture of modern, cloud native data platforms Design scalable data ecosystems using data mesh, data products, and data contracts Make high impact architectural decisions across ingestion, storage, processing, and access layers Ensure platforms are secure, compliant, and production grade by design Build Modern Data Platforms Design and deliver cloud native data platforms using Databricks, Snowflake, AWS, and GCP Apply modern architectural patterns: data mesh, data products, and data contracts Integrate deeply with client systems to enable scalable, consumer oriented data access Develop High-Performance Pipelines Build and optimise batch and real time pipelines Work with streaming and event driven tech such as Kafka, Flink, Kinesis, Pub/Sub Orchestrate workflows using Airflow, Dataflow, Glue Work at Scale Process and transform large datasets using Spark and Flink Design systems that perform in production - not just on paper Own Data Storage & Performance Work across relational, NoSQL, and analytical stores (Postgres, BigQuery, Snowflake, Cassandra, MongoDB) Optimise storage formats and access patterns (Parquet, Delta, ORC, Avro) Cloud, Security & Governance Implement secure, compliant data solutions with security by design Embed governance without killing developer velocity Consult and Influence Work directly with clients to understand problems and shape solutions Translate business needs into pragmatic engineering decisions Act as a trusted technical advisor, not just an order taker Technical Leadership & Quality Set engineering standards, patterns, and best practices across teams Review designs and code, providing clear technical direction and mentorship Raise the bar on data quality, testing, observability, and operational excellence What We're Looking For Core Engineering Strength Strong Python and SQL Deep experience with Spark and modern data platforms (Databricks / Snowflake) Solid grasp of cloud data services (AWS or GCP) Architecture & Design Judgement Demonstrated ownership of large-scale data platform architectures Strong data modelling skills and architectural decision making ability Comfortable balancing trade offs between performance, cost, and complexity Data Platform Experience Built and operated large scale data pipelines in production Strong data modelling capability and architectural judgement Comfortable with multiple storage technologies and formats Engineering Discipline Infrastructure-as-code experience (Terraform, Pulumi) CI/CD pipelines using tools like GitHub Actions, ArgoCD Data testing and quality frameworks (dbt, Great Expectations, Soda) Delivery & Consulting Mindset Experience in consulting or professional services environments Strong consulting instincts - able to challenge assumptions and guide clients toward better outcomes Comfortable mentoring senior engineers and influencing technical culture Why Simple Machines You'll work on interesting, high-impact problems You'll build modern platforms, not maintain legacy mess You'll be surrounded by senior engineers who actually know their craft You'll have autonomy, influence, and room to grow If you're a senior data engineer who wants to build properly, think clearly, and deliver real outcomes - we should talk.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within Commercial&Investment Bank, you are an integral part of an agile team that works to enhance, build, and deliver trusted market leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading edge technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Expertise in Java fundamentals, object oriented programming, multi threading, messaging technologies, and computer networks Experience building high performance, latency sensitive Java applications Understanding of agile methodologies, CI/CD, application resiliency, and security best practices Experience developing, debugging, and maintaining code using modern programming and database querying languages Knowledge of cloud, artificial intelligence, machine learning, and mobile technologies Experience with distributed systems, microservices, and event driven architectures Experience maintaining and troubleshooting software in Linux environments, with familiarity in containers and cloud architectures/services Strong interpersonal and communication skills, with experience working in global teams Commitment to continuous learning and improvement Preferred qualifications, capabilities, and skills Familiarity with modern front end technologies such as React, Angular, or Vue.js Exposure to cloud technologies including AWS, Azure, or GCP Experience with Python and front end development Practical experience with FIX messaging protocol and QuickFIX/J Familiarity with Hazelcast or other distributed computing platforms We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.
27/07/2026
Full time
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within Commercial&Investment Bank, you are an integral part of an agile team that works to enhance, build, and deliver trusted market leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading edge technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Expertise in Java fundamentals, object oriented programming, multi threading, messaging technologies, and computer networks Experience building high performance, latency sensitive Java applications Understanding of agile methodologies, CI/CD, application resiliency, and security best practices Experience developing, debugging, and maintaining code using modern programming and database querying languages Knowledge of cloud, artificial intelligence, machine learning, and mobile technologies Experience with distributed systems, microservices, and event driven architectures Experience maintaining and troubleshooting software in Linux environments, with familiarity in containers and cloud architectures/services Strong interpersonal and communication skills, with experience working in global teams Commitment to continuous learning and improvement Preferred qualifications, capabilities, and skills Familiarity with modern front end technologies such as React, Angular, or Vue.js Exposure to cloud technologies including AWS, Azure, or GCP Experience with Python and front end development Practical experience with FIX messaging protocol and QuickFIX/J Familiarity with Hazelcast or other distributed computing platforms We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.
Senior Lead Software Engineer - Java, React, AI GLASGOW, LANARKSHIRE, United Kingdom Job Identification Job Category Software Engineering Business Unit Corporate Sector Posting Date 07/24/2026, 02:41 PM Locations 315 Argyle Street, Glasgow, Glasgow City, G2 8AT, GB Job Schedule Full time Job Shift Day Job Description At JPMorganChase, we build technology that powers one of the world's most important financial institutions - and we want you to be part of it. You'll have the opportunity to lead complex engineering challenges, grow your expertise, and collaborate with talented teams across the globe. We invest in our people, providing the tools, resources, and environment to help you thrive and advance your career. If you're passionate about delivering technology that makes a real difference, this is the role for you. As a Senior Lead Software Engineer at JPMorganChase within the AI & ML Data Platforms team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will drive significant business impact through your capabilities and contributions, applying deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. Your leadership will help shape the direction of our engineering community and the future of our technology. Job responsibilities Provide technical guidance and direction to support the business and its technical teams, contractors, and vendors Develop secure and high-quality production code, and review and debug code written by others Drive decisions that influence product design, application functionality, and technical operations and processes Serve as a subject matter expert in one or more areas of focus, sharing knowledge and best practices across the engineering community Actively contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices across the Software Development Life Cycle Influence peers and project decision-makers to consider the use and application of leading-edge technologies Foster a team culture of diversity, opportunity, inclusion, and respect Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced proficiency in one or more programming languages with a strong focus on code quality and maintainability Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience with a strong understanding of scalability, resiliency, and security principles Background in Computer Science, Computer Engineering, Mathematics, or a related technical field Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices Preferred qualifications, capabilities, and skills Experience designing and developing modern, responsive front-end interfaces using React, TypeScript, and component-based architecture Proficiency in back-end development using Java frameworks (e.g., Spring Boot) for building RESTful APIs and microservices Hands-on experience with cloud platforms (e.g., AWS) including container orchestration, serverless computing, and infrastructure-as-code Experience with database technologies including relational and NoSQL solutions, caching strategies, and asynchronous messaging patterns Strong knowledge of continuous integration and delivery pipelines and automated testing frameworks across front-end and back-end systems About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
27/07/2026
Full time
Senior Lead Software Engineer - Java, React, AI GLASGOW, LANARKSHIRE, United Kingdom Job Identification Job Category Software Engineering Business Unit Corporate Sector Posting Date 07/24/2026, 02:41 PM Locations 315 Argyle Street, Glasgow, Glasgow City, G2 8AT, GB Job Schedule Full time Job Shift Day Job Description At JPMorganChase, we build technology that powers one of the world's most important financial institutions - and we want you to be part of it. You'll have the opportunity to lead complex engineering challenges, grow your expertise, and collaborate with talented teams across the globe. We invest in our people, providing the tools, resources, and environment to help you thrive and advance your career. If you're passionate about delivering technology that makes a real difference, this is the role for you. As a Senior Lead Software Engineer at JPMorganChase within the AI & ML Data Platforms team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will drive significant business impact through your capabilities and contributions, applying deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. Your leadership will help shape the direction of our engineering community and the future of our technology. Job responsibilities Provide technical guidance and direction to support the business and its technical teams, contractors, and vendors Develop secure and high-quality production code, and review and debug code written by others Drive decisions that influence product design, application functionality, and technical operations and processes Serve as a subject matter expert in one or more areas of focus, sharing knowledge and best practices across the engineering community Actively contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices across the Software Development Life Cycle Influence peers and project decision-makers to consider the use and application of leading-edge technologies Foster a team culture of diversity, opportunity, inclusion, and respect Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced proficiency in one or more programming languages with a strong focus on code quality and maintainability Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience with a strong understanding of scalability, resiliency, and security principles Background in Computer Science, Computer Engineering, Mathematics, or a related technical field Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices Preferred qualifications, capabilities, and skills Experience designing and developing modern, responsive front-end interfaces using React, TypeScript, and component-based architecture Proficiency in back-end development using Java frameworks (e.g., Spring Boot) for building RESTful APIs and microservices Hands-on experience with cloud platforms (e.g., AWS) including container orchestration, serverless computing, and infrastructure-as-code Experience with database technologies including relational and NoSQL solutions, caching strategies, and asynchronous messaging patterns Strong knowledge of continuous integration and delivery pipelines and automated testing frameworks across front-end and back-end systems About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
JOB DESCRIPTION Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at the company within the Equities Sales and Trading Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. Job responsibilities Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Drives decisions that influence the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Adds to the team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years of applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls. Advanced in one or more programming language(s) Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Expertise in React 17+ and modern front-end development practices Experience with AG Grid or similar advanced data grid libraries Proven ability to optimize web applications for performance and responsiveness Familiarity with handling high-frequency data updates in UI applications Strong understanding of application profiling and tuning techniques Knowledge of AI integration or cloud technologies, especially AWS Experience working in fast-paced, agile environments within financial services ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
27/07/2026
Full time
JOB DESCRIPTION Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at the company within the Equities Sales and Trading Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. Job responsibilities Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Drives decisions that influence the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Adds to the team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years of applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls. Advanced in one or more programming language(s) Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Expertise in React 17+ and modern front-end development practices Experience with AG Grid or similar advanced data grid libraries Proven ability to optimize web applications for performance and responsiveness Familiarity with handling high-frequency data updates in UI applications Strong understanding of application profiling and tuning techniques Knowledge of AI integration or cloud technologies, especially AWS Experience working in fast-paced, agile environments within financial services ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Principal Solutions Architect, Field-AGS-UKI-ENT-CS Job ID: AWS EMEA SARL (UK Branch) Amazon Web Services (AWS) is looking for an experienced and motivated technologist who possesses a unique balance of technical depth and strong interpersonal skills. As a Principal Solutions Architect, you will partner with some of the world's largest financial services companies, AWS Sales and several other AWS teams to craft highly scalable, flexible and resilient cloud architectures that address customer business problems and accelerate the adoption of AWS services. In collaboration with sales, you will drive revenue growth across a small set of systemically important global financial services customers. As a trusted customer advocate, you will help these organizations understand best practices around advanced cloud-based solutions, and how to migrate existing workloads to the cloud. You will have the opportunity to help shape and execute a strategy to build mindshare and broad use of AWS within enterprise customers. The ideal candidate must be self-motivated with a proven track record in software, technology sales or consulting. The ability to connect technology with measurable business value is critical for a Principal Solutions Architect. You should also have a demonstrated ability to think strategically about business, products, and technical challenges. At the Principal level, you will operate with complete independence in ambiguous environments where business objectives are emergent and problems are novel. You will own program-level technical strategy across multiple lines of business, decomposing significantly complex challenges into elegant solutions that deliver measurable business outcomes. Your work will influence entire organizations and extend across industries, establishing patterns that become reference architectures for the financial services sector. As a recognized technical thought leader, you will drive clarity where none exists, build consensus across diverse stakeholder groups from engineering teams to C-suite executives, and shape AWS product strategy through deep customer insights. This role demands exceptional judgment, the ability to think big while diving deep, and a relentless focus on raising the bar for technical excellence. Key job responsibilities Own program-level technical strategy for systemically important financial institutions' AWS adoption across multiple lines of business, including capital markets, wealth management, and institutional securities Serve as trusted technical advisor to senior technology leadership and C-suite executives, leading technical and business strategy discussions that influence their technology vision Architect solutions to significantly complex challenges involving large-scale distributed systems, real-time trading platforms, risk management systems, and regulatory compliance frameworks Create exemplary reference architectures that become patterns for other global financial institutions Drive alignment across customer's technology, business, risk, and compliance organizations while influencing long-term technology roadmap and architectural standards Recognized as a technical thought leader in financial services cloud architecture, leading creation of whitepapers, reference architectures, and industry best practices Speak at premier industry events with significant educational impact Mentor and develop other Solutions Architects, providing technical assessments for Principal SA promotions Create mechanisms, frameworks, and best practices that enable organizational scale Design large-scale, multi-region architectures addressing complex requirements for performance, security, reliability, and operational efficiency Lead technical due diligence for mission-critical workload migrations (trading systems, risk engines, core banking platforms) Ensure solutions meet stringent regulatory requirements (SEC, FINRA, OCC, Fed) and industry standards Drive adoption of advanced AWS capabilities including AI/ML, GenAI, real-time analytics, and event-driven architectures Working backwards from your customers, identify gaps in AWS products and services, and work with relevant product teams to address them A day in the life About the team About the team Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating. That's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing accounts to enterprise-level customers including public sector. The AWS Industries team is committed to helping industry customers enable their digital transformation journeys, speaking the language of our industry customers and focusing on business outcomes and industry use cases. Basic Qualifications Bachelor's degree in computer science, engineering, mathematics or equivalent Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing Experience in specific technology domain areas like software development, cloud computing, systems engineering, infrastructure, security, networking, data and analytics Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications Preferred Qualifications Knowledge of distributed systems design and implementation or equivalent Knowledge of large scale automation and workflow management or equivalent Knowledge of database design and implementation or equivalent Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers Experience architecting, migrating, transforming or modernizing customer requirements to the cloud Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region youâ re applying in isn't listed, please contact your Recruiting Partner. Based on your recent activity, you may be interested in: Location: ES, Community of Madrid, Madrid Posted: February 6, 2026 (Updated 2 months ago) Posted: May 8, 2026 (Updated 3 months ago) Posted: March 18, 2026 (Updated 2 days ago) Posted: April 30, 2026 (Updated about 2 months ago) Posted: June 30, 2026 (Updated 26 days ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
27/07/2026
Full time
Principal Solutions Architect, Field-AGS-UKI-ENT-CS Job ID: AWS EMEA SARL (UK Branch) Amazon Web Services (AWS) is looking for an experienced and motivated technologist who possesses a unique balance of technical depth and strong interpersonal skills. As a Principal Solutions Architect, you will partner with some of the world's largest financial services companies, AWS Sales and several other AWS teams to craft highly scalable, flexible and resilient cloud architectures that address customer business problems and accelerate the adoption of AWS services. In collaboration with sales, you will drive revenue growth across a small set of systemically important global financial services customers. As a trusted customer advocate, you will help these organizations understand best practices around advanced cloud-based solutions, and how to migrate existing workloads to the cloud. You will have the opportunity to help shape and execute a strategy to build mindshare and broad use of AWS within enterprise customers. The ideal candidate must be self-motivated with a proven track record in software, technology sales or consulting. The ability to connect technology with measurable business value is critical for a Principal Solutions Architect. You should also have a demonstrated ability to think strategically about business, products, and technical challenges. At the Principal level, you will operate with complete independence in ambiguous environments where business objectives are emergent and problems are novel. You will own program-level technical strategy across multiple lines of business, decomposing significantly complex challenges into elegant solutions that deliver measurable business outcomes. Your work will influence entire organizations and extend across industries, establishing patterns that become reference architectures for the financial services sector. As a recognized technical thought leader, you will drive clarity where none exists, build consensus across diverse stakeholder groups from engineering teams to C-suite executives, and shape AWS product strategy through deep customer insights. This role demands exceptional judgment, the ability to think big while diving deep, and a relentless focus on raising the bar for technical excellence. Key job responsibilities Own program-level technical strategy for systemically important financial institutions' AWS adoption across multiple lines of business, including capital markets, wealth management, and institutional securities Serve as trusted technical advisor to senior technology leadership and C-suite executives, leading technical and business strategy discussions that influence their technology vision Architect solutions to significantly complex challenges involving large-scale distributed systems, real-time trading platforms, risk management systems, and regulatory compliance frameworks Create exemplary reference architectures that become patterns for other global financial institutions Drive alignment across customer's technology, business, risk, and compliance organizations while influencing long-term technology roadmap and architectural standards Recognized as a technical thought leader in financial services cloud architecture, leading creation of whitepapers, reference architectures, and industry best practices Speak at premier industry events with significant educational impact Mentor and develop other Solutions Architects, providing technical assessments for Principal SA promotions Create mechanisms, frameworks, and best practices that enable organizational scale Design large-scale, multi-region architectures addressing complex requirements for performance, security, reliability, and operational efficiency Lead technical due diligence for mission-critical workload migrations (trading systems, risk engines, core banking platforms) Ensure solutions meet stringent regulatory requirements (SEC, FINRA, OCC, Fed) and industry standards Drive adoption of advanced AWS capabilities including AI/ML, GenAI, real-time analytics, and event-driven architectures Working backwards from your customers, identify gaps in AWS products and services, and work with relevant product teams to address them A day in the life About the team About the team Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating. That's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing accounts to enterprise-level customers including public sector. The AWS Industries team is committed to helping industry customers enable their digital transformation journeys, speaking the language of our industry customers and focusing on business outcomes and industry use cases. Basic Qualifications Bachelor's degree in computer science, engineering, mathematics or equivalent Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing Experience in specific technology domain areas like software development, cloud computing, systems engineering, infrastructure, security, networking, data and analytics Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications Preferred Qualifications Knowledge of distributed systems design and implementation or equivalent Knowledge of large scale automation and workflow management or equivalent Knowledge of database design and implementation or equivalent Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers Experience architecting, migrating, transforming or modernizing customer requirements to the cloud Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region youâ re applying in isn't listed, please contact your Recruiting Partner. Based on your recent activity, you may be interested in: Location: ES, Community of Madrid, Madrid Posted: February 6, 2026 (Updated 2 months ago) Posted: May 8, 2026 (Updated 3 months ago) Posted: March 18, 2026 (Updated 2 days ago) Posted: April 30, 2026 (Updated about 2 months ago) Posted: June 30, 2026 (Updated 26 days ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
JOB DESCRIPTION Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top notch technology products. As a Senior Lead Software Engineer at the company within the Global Electronic Trading Group, you are an integral part of an agile team that works to enhance, build, and deliver trusted market leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. The Execution Services Technology department is looking for a DevOps team member who can support the latency Electronic Trading, Data Analytics and Quant environments. The role will be based in London, and will entail both working closely with the London Business and our Global partners. Job responsibilities Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives decisions that influence the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the engineering community as an advocate of firm wide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision makers to consider the use and application of leading edge technologies Adds to the team culture of diversity, opportunity, inclusion, and respect Coordinates DevOps / Integration release management activities Monitoring & Management of Plant Capacity & Reporting Management of Continuous Integration Environment Third Level Support Production Support Required qualifications, capabilities, and skills Hands on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) Advanced knowledge of software applications and technical processes with considerable in depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Linux: understands the OS architecture, fluent user of the command line, can fluently speak either Perl or Python, UNIX scripting, Java Cloud native: skilled in building and running applications that fully leverages cloud computing, using technologies like microservices, containers, and dynamic orchestration CI/CD: Hands on experience of CI/CD technologies like Jules, Jenkins are highly desirable. Exposure to release management tools is needed. Automation/Tools Development: Design/Develop/maintain automated tools for toil reduction, reporting based on python and other scripting language Preferred qualifications, capabilities, and skills KDB+ knowledge AWS experience Kubernetes Terraform We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
27/07/2026
Full time
JOB DESCRIPTION Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top notch technology products. As a Senior Lead Software Engineer at the company within the Global Electronic Trading Group, you are an integral part of an agile team that works to enhance, build, and deliver trusted market leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. The Execution Services Technology department is looking for a DevOps team member who can support the latency Electronic Trading, Data Analytics and Quant environments. The role will be based in London, and will entail both working closely with the London Business and our Global partners. Job responsibilities Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives decisions that influence the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the engineering community as an advocate of firm wide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision makers to consider the use and application of leading edge technologies Adds to the team culture of diversity, opportunity, inclusion, and respect Coordinates DevOps / Integration release management activities Monitoring & Management of Plant Capacity & Reporting Management of Continuous Integration Environment Third Level Support Production Support Required qualifications, capabilities, and skills Hands on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) Advanced knowledge of software applications and technical processes with considerable in depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Linux: understands the OS architecture, fluent user of the command line, can fluently speak either Perl or Python, UNIX scripting, Java Cloud native: skilled in building and running applications that fully leverages cloud computing, using technologies like microservices, containers, and dynamic orchestration CI/CD: Hands on experience of CI/CD technologies like Jules, Jenkins are highly desirable. Exposure to release management tools is needed. Automation/Tools Development: Design/Develop/maintain automated tools for toil reduction, reporting based on python and other scripting language Preferred qualifications, capabilities, and skills KDB+ knowledge AWS experience Kubernetes Terraform We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Intermediate Data Engineer Department: Insurance Retail Employment Type: Permanent - Full Time Location: North West UK - Hybrid Compensation: £40,000 - £45,000 / year Description We're seeking an Intermediate Data Engineer to join our Insurance Retail department, supporting development squads with reliable, automated and cloud-ready data solutions. This role is suited to someone who can combine strong SQL, scripting and AWS experience with modern DevOps practices to build, maintain and improve data pipelines, data services and supporting infrastructure. AI is a key part of the role. You will be expected to use AI-assisted engineering tools responsibly to accelerate development, improve documentation, support analysis and identify opportunities to automate repeatable data engineering and operational tasks. Working closely with engineers, analysts, architects and stakeholders, you will help turn data requirements into maintainable, observable and secure solutions. You will maintain awareness of industry and technology developments, contribute to technical discussions, and support continuous improvement across data engineering, automation and operational practices. The role includes ownership of work throughout its lifecycle, from development and testing through to production support, incident resolution, continuous improvement and knowledge sharing across the department. About CDL CDL is one of the UK's leading software development houses, employing over 600 people at its campus in Stockport. It has a consistent history in the high-volume retail insurance sector. CDL has spearheaded developments in the aggregator, web and telematics space, including connected home, enrichment and self-service solutions. As a result, the company's robust and innovative technologies have enabled its customers to thrive in the highly competitive UK insurance marketplace. We have built a collaborative and creative culture,leveraging AI-driven solutions to enhance our products, processes and decision-making.We pride ourselves on cultivating an inspiring working environment with our employees at the heart of our company. In a nutshell we are the market leading software house in our industry, creating the software, websites & apps for the Insurance & Finance sector across the UK. If you were to go on a price comparison website, approximately 65% of the companies on there are our clients! What You'll Do Building, testing, monitoring and maintaining data pipelines and infrastructure to support the Data Platform using best practices including CI/CD, IaC and DevOps. Apply security best practices across data pipelines, cloud infrastructure and operational processes, ensuring data is protected through appropriate access controls, encryption, monitoring and secure engineering practices Use AWS services and PostgreSQL/AWS RDS knowledge to design, deliver and support scalable, reliable and secure data solutions, ensuring appropriate governance, resilience and protection of business data. Actively embrace AI-assisted engineering practices and demonstrate a willingness to learn, experiment with and responsibly adopt emerging AI tools such as Kiro, GitHub Copilot or equivalent technologies to improve delivery flow, quality, documentation, analysis and operational efficiency. Develop and maintain automated deployment, testing and operational workflows using GitLab pipelines, version control, Terraform/OpenTofu and scripting. Contribute to data quality, lineage, governance and observability practices to ensure data is trusted, traceable, secure and supportable throughout its lifecycle. Investigate data quality, platform reliability, pipeline performance and operational issues, identifying practical improvements, preventative actions and automation opportunities that enable squads to move faster and more safely. Working with business stakeholders, analysts and architects to understand business and technical requirements, designing data models and data structures that support reporting, analytics and operational use cases. Contribute to database and data platform activities such as upgrades, data migrations, schema updates and platform modernisation initiatives. Documenting processes and products, sharing knowledge across the squad and wider business, and supporting the development of less experienced engineers through mentoring, pairing or technical guidance where appropriate. Contribute significantly to small-to-medium feature deliveries and multi-person initiatives, collaborating with engineers and stakeholders to deliver reliable outcomes. About You Hold, or be willing to obtain, a relevant AWS certification that can be registered against the CDL APN. Proven experience working with AWS services relevant to data engineering and operational support, such as RDS, S3, Lambda, ECS, EC2, VPC, CloudWatch and related services. Experience with MySql and Oracle databases would be advantageous. Strong SQL skills, including PostgreSQL experience, query optimisation awareness and the ability to investigate data or performance issues. Good understanding of security principles including least-privilege access, encryption, secrets management, vulnerability remediation and secure handling of sensitive data. Experience with CI/CD pipelines, automated testing and deployment practices using GitLab or similar tooling. Experience with Infrastructure as Code tools such as Terraform, OpenTofu or CloudFormation. Good understanding of version control workflows, branching strategies and GitLab best practice. Experience of, or a strong willingness to learn, AI-assisted engineering tools such as Kiro, GitHub Copilot or similar technologies to improve engineering effectiveness and delivery outcomes. Familiarity with observability and troubleshooting tooling such as Dynatrace, OpenSearch/Elasticsearch or CloudWatch logs. Ability to communicate clearly, analyse problems, work collaboratively and explain technical concepts to both technical and non-technical stakeholders. Familiarity with Agile methodologies and operational tooling such as Jira and ServiceNow. What You'll Get Salary The salary for the role of Intermediate Data Engineer pays up to £45,000p.a. (Level 4) providing a fantastic opportunity for career progression through CDL's clearly defined career framework Your growth and advancement within CDL are only limited by your own ambition and effort. Benefits Hybrid Working (2 Days a Week in the office - SK4 2HD) Flexible working. 25 days holiday to start, increasing by 1 day per 1 year of service up to 30 days. Top employer for 10th year running Excellent training and development platform Opportunities for career progression Health and Wellbeing Programme Virtual activities, lunch and learns, coffee mornings and meetups. Life and health assurance Electric Vehicle Scheme Established Recognition Award System Great Parental Benefits Diversity and Inclusion network Pension scheme Community projects and volunteer days Refer a friend bonus Campus Benefits: On-site free parking Open plan modern offices Quiet Spaces are also available Shuttle bus to and from the station Subsidised restaurant Games room, pool & table-tennis tables and chill out zone Annual Hackathon & Deep Racer Events Social activities, regular social events through our social group Xtra, including a summer BBQ, competitions, bowling, go-karting, football games, Winter party and much more! Car wash, barber, yoga classes, boot camp and massage services all on site Cycle to work scheme Shower and dry rooms Diversity and inclusion: We're on a journey to keep innovating, that means welcoming new ideas and ways of thinking. CDL recognises that building a diverse workforce is critical to the success of our business. We strongly encourage applications from a diverse talent pool and welcome the opportunity to discuss flexibility requirements and workplace adjustments with all our applicants.
26/07/2026
Full time
Intermediate Data Engineer Department: Insurance Retail Employment Type: Permanent - Full Time Location: North West UK - Hybrid Compensation: £40,000 - £45,000 / year Description We're seeking an Intermediate Data Engineer to join our Insurance Retail department, supporting development squads with reliable, automated and cloud-ready data solutions. This role is suited to someone who can combine strong SQL, scripting and AWS experience with modern DevOps practices to build, maintain and improve data pipelines, data services and supporting infrastructure. AI is a key part of the role. You will be expected to use AI-assisted engineering tools responsibly to accelerate development, improve documentation, support analysis and identify opportunities to automate repeatable data engineering and operational tasks. Working closely with engineers, analysts, architects and stakeholders, you will help turn data requirements into maintainable, observable and secure solutions. You will maintain awareness of industry and technology developments, contribute to technical discussions, and support continuous improvement across data engineering, automation and operational practices. The role includes ownership of work throughout its lifecycle, from development and testing through to production support, incident resolution, continuous improvement and knowledge sharing across the department. About CDL CDL is one of the UK's leading software development houses, employing over 600 people at its campus in Stockport. It has a consistent history in the high-volume retail insurance sector. CDL has spearheaded developments in the aggregator, web and telematics space, including connected home, enrichment and self-service solutions. As a result, the company's robust and innovative technologies have enabled its customers to thrive in the highly competitive UK insurance marketplace. We have built a collaborative and creative culture,leveraging AI-driven solutions to enhance our products, processes and decision-making.We pride ourselves on cultivating an inspiring working environment with our employees at the heart of our company. In a nutshell we are the market leading software house in our industry, creating the software, websites & apps for the Insurance & Finance sector across the UK. If you were to go on a price comparison website, approximately 65% of the companies on there are our clients! What You'll Do Building, testing, monitoring and maintaining data pipelines and infrastructure to support the Data Platform using best practices including CI/CD, IaC and DevOps. Apply security best practices across data pipelines, cloud infrastructure and operational processes, ensuring data is protected through appropriate access controls, encryption, monitoring and secure engineering practices Use AWS services and PostgreSQL/AWS RDS knowledge to design, deliver and support scalable, reliable and secure data solutions, ensuring appropriate governance, resilience and protection of business data. Actively embrace AI-assisted engineering practices and demonstrate a willingness to learn, experiment with and responsibly adopt emerging AI tools such as Kiro, GitHub Copilot or equivalent technologies to improve delivery flow, quality, documentation, analysis and operational efficiency. Develop and maintain automated deployment, testing and operational workflows using GitLab pipelines, version control, Terraform/OpenTofu and scripting. Contribute to data quality, lineage, governance and observability practices to ensure data is trusted, traceable, secure and supportable throughout its lifecycle. Investigate data quality, platform reliability, pipeline performance and operational issues, identifying practical improvements, preventative actions and automation opportunities that enable squads to move faster and more safely. Working with business stakeholders, analysts and architects to understand business and technical requirements, designing data models and data structures that support reporting, analytics and operational use cases. Contribute to database and data platform activities such as upgrades, data migrations, schema updates and platform modernisation initiatives. Documenting processes and products, sharing knowledge across the squad and wider business, and supporting the development of less experienced engineers through mentoring, pairing or technical guidance where appropriate. Contribute significantly to small-to-medium feature deliveries and multi-person initiatives, collaborating with engineers and stakeholders to deliver reliable outcomes. About You Hold, or be willing to obtain, a relevant AWS certification that can be registered against the CDL APN. Proven experience working with AWS services relevant to data engineering and operational support, such as RDS, S3, Lambda, ECS, EC2, VPC, CloudWatch and related services. Experience with MySql and Oracle databases would be advantageous. Strong SQL skills, including PostgreSQL experience, query optimisation awareness and the ability to investigate data or performance issues. Good understanding of security principles including least-privilege access, encryption, secrets management, vulnerability remediation and secure handling of sensitive data. Experience with CI/CD pipelines, automated testing and deployment practices using GitLab or similar tooling. Experience with Infrastructure as Code tools such as Terraform, OpenTofu or CloudFormation. Good understanding of version control workflows, branching strategies and GitLab best practice. Experience of, or a strong willingness to learn, AI-assisted engineering tools such as Kiro, GitHub Copilot or similar technologies to improve engineering effectiveness and delivery outcomes. Familiarity with observability and troubleshooting tooling such as Dynatrace, OpenSearch/Elasticsearch or CloudWatch logs. Ability to communicate clearly, analyse problems, work collaboratively and explain technical concepts to both technical and non-technical stakeholders. Familiarity with Agile methodologies and operational tooling such as Jira and ServiceNow. What You'll Get Salary The salary for the role of Intermediate Data Engineer pays up to £45,000p.a. (Level 4) providing a fantastic opportunity for career progression through CDL's clearly defined career framework Your growth and advancement within CDL are only limited by your own ambition and effort. Benefits Hybrid Working (2 Days a Week in the office - SK4 2HD) Flexible working. 25 days holiday to start, increasing by 1 day per 1 year of service up to 30 days. Top employer for 10th year running Excellent training and development platform Opportunities for career progression Health and Wellbeing Programme Virtual activities, lunch and learns, coffee mornings and meetups. Life and health assurance Electric Vehicle Scheme Established Recognition Award System Great Parental Benefits Diversity and Inclusion network Pension scheme Community projects and volunteer days Refer a friend bonus Campus Benefits: On-site free parking Open plan modern offices Quiet Spaces are also available Shuttle bus to and from the station Subsidised restaurant Games room, pool & table-tennis tables and chill out zone Annual Hackathon & Deep Racer Events Social activities, regular social events through our social group Xtra, including a summer BBQ, competitions, bowling, go-karting, football games, Winter party and much more! Car wash, barber, yoga classes, boot camp and massage services all on site Cycle to work scheme Shower and dry rooms Diversity and inclusion: We're on a journey to keep innovating, that means welcoming new ideas and ways of thinking. CDL recognises that building a diverse workforce is critical to the success of our business. We strongly encourage applications from a diverse talent pool and welcome the opportunity to discuss flexibility requirements and workplace adjustments with all our applicants.
The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world's most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. About the Data Platform Team Our Data Platform team is the engineering backbone of Tripadvisor's data ecosystem. Formed from the core fundamentals of our Data Engineering and Software Engineering (Data Platform) groups, this unified team combines deep data pipeline expertise with robust platform engineering capabilities. We are responsible for providing software and infrastructure that enable Tripadvisor to better understand visitor preferences, power experimentation across all surfaces (website, mobile app, and customer communications), and drive GenAI, Analytical, and DSML initiatives at petabyte scale. Our team builds and maintains: Streaming and batch data platforms that unlock data across Tripadvisor ETL pipelines and data models serving terabytes and growing datasets in Snowflake, BigQuery, and Hive, Orchestration, scheduling, and ETL generation tools to support cloud migrations and petabyte-scale operations, Tracking instrumentation, information architecture, and data governance tooling for business-critical analytics. We collaborate closely with Product, Analytics, Data Science, CRM, Marketing, Finance, and Machine Learning teams across Tripadvisor's global engineering organization. Tripadvisor is looking for a Data Engineer II to join our fast-moving Data Platform group. In this role, you will design, build, and sustain the data infrastructure that powers the world's most trusted travel platform. You'll bring both strong software engineering fundamentals and hands on data engineering expertise - writing production-quality Java and Python, architecting reliable pipelines, and delivering end-to-end solutions that scale to hundreds of millions of travelers. Do you enjoy building features end-to-end? Do you thrive working with a broad technology stack, releasing frequently, and collaborating with talented engineers worldwide? If so, we'd love to talk. What You'll Do Data Engineering & Data Products, ETLs Design, build, and maintain robust ETL/ELT data pipelines that process terabyte-scale data across Snowflake, BigQuery, Hive, and other platforms. Develop scalable, reusable data models and curated data sets for analytics, data science, CRM, machine learning, and other data consumers across the organization. Own the full lifecycle of data pipelines: define SLAs, implement performance measurements, monitoring, and anomaly detection. Ensure enterprise data integrity, validation, documentation, and governance. Platform & Software Engineering Write production Java and Python code across our evolving platform stack - from data ingestion and event processing to REST services and internal tooling. Build and maintain streaming and batch processing systems (Flink, Spark, Kafka) that power real time and analytical workloads. Take responsibility for all aspects of software engineering: design, implementation, QA, and maintenance, with a CI/CD mindset (most engineers release to production every few days). Operate on and improve cloud infrastructure on AWS, with familiarity with Gradle, Linux, and related tooling. Quality, Collaboration & Ownership Take on projects with independence and a mandate to leave things better than you found them. Be integral to code quality on your team through leadership in design and code review. Collaborate closely with Product, Design, Analytics, and Data Science teams to define specifications and deliver high quality solutions. Communicate effectively with both technical and business stakeholders; translate complex data problems into clear solutions. Work alongside engineering groups located around the world in a fast paced, dynamic environment. Skills & Experience 4-5+ years of data engineering or general software development experience in a commercial setting. Strong hands on proficiency in both Java and Python for production systems. Demonstrated experience designing and implementing complex ETL/ELT processes from concept to production. Proficiency in SQL and data exploration across large, complex datasets. Experience with big data technologies (Hadoop, Hive, BigQuery, Snowflake) and working with terabyte-scale or larger datasets. Solid foundation in data structures, algorithms, and object oriented design. Professional experience building REST services and working with event queue systems. Familiarity with Linux and cloud infrastructure design on AWS or equivalent cloud providers. Systems performance and tuning experience, with an understanding of how architecture impacts scalability. Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. Strong analytical skills; desire to write clean, correct, and efficient code. Self paced, organized, and detail oriented with a strong sense of ownership, urgency, and pride in your work. Ability to break down complex problems into simple, pragmatic solutions. Strong interpersonal skills, intense curiosity, and enthusiasm for solving difficult problems. Willingness and ability to take on new technologies as our stack evolves. Nice to Have Experience with stream processing frameworks such as Flink or Spark Streaming. Experience with task orchestration tools such as Apache Airflow or similar systems. Familiarity with additional technologies: GraphQL, React, HTML5, JavaScript, CSS, Postgres, Gradle, BERT. Experience working with and designing infrastructures for large scale data processing (Hive, Snowflake, NoSQL databases). Experience with data governance practices and tooling. Exposure to and/or interest in machine learning, data science, or GenAI to help solve engineering challenges innovatively. Experience developing scalable code for high volume, low latency systems. What We Offer Competitive compensation packages , including base salary, annual bonus, and more. "Work your way" with flexibility to suit your lifestyle. We take a remote-friendly approach to collaboration, with the option to join on site as often as you'd like in select locations. Flexible schedule . Work life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching . Give back? Give more! We match qualifying charitable donations annually. Tuition assistance . Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit . An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks . We believe that travel is employee development, so we provide discounts and more. Employee assistance program . We're here for you with resources and programs to help you through life's challenges. Health benefits . We offer great coverage and competitive premiums. Generous referral scheme . Help us grow and be rewarded with generous awards for referring successful candidates. Our Cultural Pillars Traveller first: We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data driven, prioritised, and built to scale. We assume no problem is someone else's problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. Discover more in our Tech Blog , for an inside look into some of our exciting and ground breaking technical projects here at Tripadvisor Group. Tripadvisor Group champions the unique identities, abilities, and experiences of all our people - employees, customers, and partners. This stems from our belief in the transformative power of travel, dining, and experiences to connect us and open doors to worlds very different from our own. Our ED&I strategy shapes how we approach our people, culture, business, and reputation. Tripadvisor Group strives to embed inclusion and belonging across all our brands. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at . If you have any additional questions about careers at Tripadvisor you can email us at . We have all the answers!
26/07/2026
Full time
The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world's most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. About the Data Platform Team Our Data Platform team is the engineering backbone of Tripadvisor's data ecosystem. Formed from the core fundamentals of our Data Engineering and Software Engineering (Data Platform) groups, this unified team combines deep data pipeline expertise with robust platform engineering capabilities. We are responsible for providing software and infrastructure that enable Tripadvisor to better understand visitor preferences, power experimentation across all surfaces (website, mobile app, and customer communications), and drive GenAI, Analytical, and DSML initiatives at petabyte scale. Our team builds and maintains: Streaming and batch data platforms that unlock data across Tripadvisor ETL pipelines and data models serving terabytes and growing datasets in Snowflake, BigQuery, and Hive, Orchestration, scheduling, and ETL generation tools to support cloud migrations and petabyte-scale operations, Tracking instrumentation, information architecture, and data governance tooling for business-critical analytics. We collaborate closely with Product, Analytics, Data Science, CRM, Marketing, Finance, and Machine Learning teams across Tripadvisor's global engineering organization. Tripadvisor is looking for a Data Engineer II to join our fast-moving Data Platform group. In this role, you will design, build, and sustain the data infrastructure that powers the world's most trusted travel platform. You'll bring both strong software engineering fundamentals and hands on data engineering expertise - writing production-quality Java and Python, architecting reliable pipelines, and delivering end-to-end solutions that scale to hundreds of millions of travelers. Do you enjoy building features end-to-end? Do you thrive working with a broad technology stack, releasing frequently, and collaborating with talented engineers worldwide? If so, we'd love to talk. What You'll Do Data Engineering & Data Products, ETLs Design, build, and maintain robust ETL/ELT data pipelines that process terabyte-scale data across Snowflake, BigQuery, Hive, and other platforms. Develop scalable, reusable data models and curated data sets for analytics, data science, CRM, machine learning, and other data consumers across the organization. Own the full lifecycle of data pipelines: define SLAs, implement performance measurements, monitoring, and anomaly detection. Ensure enterprise data integrity, validation, documentation, and governance. Platform & Software Engineering Write production Java and Python code across our evolving platform stack - from data ingestion and event processing to REST services and internal tooling. Build and maintain streaming and batch processing systems (Flink, Spark, Kafka) that power real time and analytical workloads. Take responsibility for all aspects of software engineering: design, implementation, QA, and maintenance, with a CI/CD mindset (most engineers release to production every few days). Operate on and improve cloud infrastructure on AWS, with familiarity with Gradle, Linux, and related tooling. Quality, Collaboration & Ownership Take on projects with independence and a mandate to leave things better than you found them. Be integral to code quality on your team through leadership in design and code review. Collaborate closely with Product, Design, Analytics, and Data Science teams to define specifications and deliver high quality solutions. Communicate effectively with both technical and business stakeholders; translate complex data problems into clear solutions. Work alongside engineering groups located around the world in a fast paced, dynamic environment. Skills & Experience 4-5+ years of data engineering or general software development experience in a commercial setting. Strong hands on proficiency in both Java and Python for production systems. Demonstrated experience designing and implementing complex ETL/ELT processes from concept to production. Proficiency in SQL and data exploration across large, complex datasets. Experience with big data technologies (Hadoop, Hive, BigQuery, Snowflake) and working with terabyte-scale or larger datasets. Solid foundation in data structures, algorithms, and object oriented design. Professional experience building REST services and working with event queue systems. Familiarity with Linux and cloud infrastructure design on AWS or equivalent cloud providers. Systems performance and tuning experience, with an understanding of how architecture impacts scalability. Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. Strong analytical skills; desire to write clean, correct, and efficient code. Self paced, organized, and detail oriented with a strong sense of ownership, urgency, and pride in your work. Ability to break down complex problems into simple, pragmatic solutions. Strong interpersonal skills, intense curiosity, and enthusiasm for solving difficult problems. Willingness and ability to take on new technologies as our stack evolves. Nice to Have Experience with stream processing frameworks such as Flink or Spark Streaming. Experience with task orchestration tools such as Apache Airflow or similar systems. Familiarity with additional technologies: GraphQL, React, HTML5, JavaScript, CSS, Postgres, Gradle, BERT. Experience working with and designing infrastructures for large scale data processing (Hive, Snowflake, NoSQL databases). Experience with data governance practices and tooling. Exposure to and/or interest in machine learning, data science, or GenAI to help solve engineering challenges innovatively. Experience developing scalable code for high volume, low latency systems. What We Offer Competitive compensation packages , including base salary, annual bonus, and more. "Work your way" with flexibility to suit your lifestyle. We take a remote-friendly approach to collaboration, with the option to join on site as often as you'd like in select locations. Flexible schedule . Work life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching . Give back? Give more! We match qualifying charitable donations annually. Tuition assistance . Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit . An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks . We believe that travel is employee development, so we provide discounts and more. Employee assistance program . We're here for you with resources and programs to help you through life's challenges. Health benefits . We offer great coverage and competitive premiums. Generous referral scheme . Help us grow and be rewarded with generous awards for referring successful candidates. Our Cultural Pillars Traveller first: We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data driven, prioritised, and built to scale. We assume no problem is someone else's problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. Discover more in our Tech Blog , for an inside look into some of our exciting and ground breaking technical projects here at Tripadvisor Group. Tripadvisor Group champions the unique identities, abilities, and experiences of all our people - employees, customers, and partners. This stems from our belief in the transformative power of travel, dining, and experiences to connect us and open doors to worlds very different from our own. Our ED&I strategy shapes how we approach our people, culture, business, and reputation. Tripadvisor Group strives to embed inclusion and belonging across all our brands. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at . If you have any additional questions about careers at Tripadvisor you can email us at . We have all the answers!
About the Team Affiliate Operations powers the technology that connects millions of shoppers with the world's leading fashion brands. Our squad builds the platforms, data products, marketing services, and bidding systems that drive business-critical customer acquisition, partner integrations, and revenue growth. We are a highly data-driven engineering organization. We validate ideas through experimentation, measure success through business outcomes, and continuously improve our platforms using evidence. Our work involves large-scale data processing and distributed systems, requiring us to remain highly reliable while evolving to support new markets and acquisition channels. Reliability is fundamental to everything we build. We invest heavily in automation, observability, and operational excellence to reduce manual effort. We are also exploring how AI can transform our engineering productivity and marketing platforms. We operate in a "You build it, you ship it" culture where engineers have significant ownership- from proposing technical solutions and shaping architecture to shipping features and operating services in production. As a highly collaborative squad, you'll work closely with Product, Marketing, Partnerships, and Analytics to launch new capabilities and pioneer emerging opportunities such as Answer Engine Optimisation (AEO). The Role Build Revenue-critical Platforms You'll develop and maintain the services that power Lyst's affiliate platform, from product data pipelines to bidding systems and integrations. Your work will directly support revenue generation while ensuring our systems remain reliable, scalable, and ready to support new markets and acquisition channels. Collaborate You'll work as part of a cross-functional squad alongside Product, Marketing, Partnerships, Analytics, and Engineering colleagues. Together you'll improve platform effectiveness, launch new capabilities, and reduce manual operational effort across the business. Improve You'll continuously improve our systems through better observability, automation, and thoughtful refactoring. You'll help evolve our architecture and engineering practices to ensure our platforms remain resilient as they scale. Own You'll take ownership of the systems you build, from design through to production. You'll contribute to technical decisions, participate in code reviews, and help ensure high standards of quality, reliability, and maintainability across the platform. Within your first 3 months, you will: You'll be fully embedded in the team, contributing to production systems and collaborating closely with Product, Marketing, Partnerships, and Analytics. You'll have shipped meaningful improvements to our platform, gained confidence working across our services and data pipelines, identified opportunities to improve reliability and automation, and become a trusted contributor to technical discussions and product delivery. The Tech Stack & Culture We work in a "You build it, you ship it, you run it" culture with a strong focus on engineering quality, automation, and operational excellence. Our core technologies include: Backend: Python (primarily Django) Infrastructure: AWS, Docker, ECS Data: PostgreSQL, Redis, Snowflake Messaging: SQS, SNS CI/CD: GitHub Actions Testing: Strong focus on automated unit and integration testing Strong Engineering Fundamentals: Proven experience building production web applications using Python and Django, with a solid understanding of software engineering principles and modern backend development. Quality Mindset: You write clean, maintainable, well-tested code and understand the value of automated testing, continuous integration, and long-term maintainability. You're comfortable improving existing systems through thoughtful refactoring. Technical Curiosity: You enjoy understanding how systems work, solving complex technical problems, and continuously improving architecture, performance, and reliability. Collaboration: You communicate clearly, enjoy working in cross-functional teams, and can explain technical ideas to both engineering and non-engineering colleagues. Ownership: You take responsibility for the systems you build, proactively identify opportunities for improvement, and enjoy solving operational as well as technical challenges. Growth Mindset: You embrace feedback, enjoy learning new technologies, and use data to validate ideas and improve customer outcomes. Experience with React, TypeScript, GitHub Actions, AWS, modern CI/CD pipelines, or ecommerce platforms such as Shopify, Magento, or Salesforce Commerce Cloud would be a strong advantage. Our Ways of Working: We all come into the office on Tuesdays and Thursdays, with the option to work remotely or come into the office on the other days. We believe that in person collaboration and community spirit is super important, which is why we spend some of our time in the office and some of our time at home. Time Off: In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst's holiday year runs from 1 April to 31 March. Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss. Clothing Benefit: We want you to enjoy using the Lyst app and site as much as our customers, so we provide you with a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £1,000 with your length of service. Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start. Training Allowance: We're big on continuous learning and growth, so all employees are currently entitled to an annual training allowance of £1,000. This can be used to attend conferences, industry events, training courses and to purchase resources. Pension Scheme: Our pension provider is The People's Pension. We offer a minimum employee contribution of 5% and 3% employer contribution. Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You'll receive a free eye test every year and a discount towards glasses. Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer, you will then receive a voucher to pick up your bicycle from them. Transport Season Ticket Loan: Employees can apply for an interest free season ticket loan to support your travel to work. Social Events: Frequent company wide social events including Christmas & summer parties, sports days, themed drinks, quizzes, cook alongs, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more. Our Ways of Working: We all come into the office on Tuesdays and Thursdays, with the option to work remotely or come into the office on the other days. We believe that in person collaboration and community spirit is super important, which is why we spend some of our time in the office and some of our time at home. We want to build a world where fashion works for everyone, and we want teams that are just as inclusive. Diversity and inclusion is an integral part of our culture at Lyst. We recognise and celebrate the value and impact diversity brings to our company and are committed to ensuring this is a consistent focus, for which we are held to account. We are committed to treating all applicants fairly and equally, and encourage candidates from all backgrounds to apply for this role. We are happy to talk about flexible working arrangements. Don't meet every single requirement? Studies have shown that women and people of colour are less likely to apply to jobs unless they meet every single qualification. At Lyst we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
26/07/2026
Full time
About the Team Affiliate Operations powers the technology that connects millions of shoppers with the world's leading fashion brands. Our squad builds the platforms, data products, marketing services, and bidding systems that drive business-critical customer acquisition, partner integrations, and revenue growth. We are a highly data-driven engineering organization. We validate ideas through experimentation, measure success through business outcomes, and continuously improve our platforms using evidence. Our work involves large-scale data processing and distributed systems, requiring us to remain highly reliable while evolving to support new markets and acquisition channels. Reliability is fundamental to everything we build. We invest heavily in automation, observability, and operational excellence to reduce manual effort. We are also exploring how AI can transform our engineering productivity and marketing platforms. We operate in a "You build it, you ship it" culture where engineers have significant ownership- from proposing technical solutions and shaping architecture to shipping features and operating services in production. As a highly collaborative squad, you'll work closely with Product, Marketing, Partnerships, and Analytics to launch new capabilities and pioneer emerging opportunities such as Answer Engine Optimisation (AEO). The Role Build Revenue-critical Platforms You'll develop and maintain the services that power Lyst's affiliate platform, from product data pipelines to bidding systems and integrations. Your work will directly support revenue generation while ensuring our systems remain reliable, scalable, and ready to support new markets and acquisition channels. Collaborate You'll work as part of a cross-functional squad alongside Product, Marketing, Partnerships, Analytics, and Engineering colleagues. Together you'll improve platform effectiveness, launch new capabilities, and reduce manual operational effort across the business. Improve You'll continuously improve our systems through better observability, automation, and thoughtful refactoring. You'll help evolve our architecture and engineering practices to ensure our platforms remain resilient as they scale. Own You'll take ownership of the systems you build, from design through to production. You'll contribute to technical decisions, participate in code reviews, and help ensure high standards of quality, reliability, and maintainability across the platform. Within your first 3 months, you will: You'll be fully embedded in the team, contributing to production systems and collaborating closely with Product, Marketing, Partnerships, and Analytics. You'll have shipped meaningful improvements to our platform, gained confidence working across our services and data pipelines, identified opportunities to improve reliability and automation, and become a trusted contributor to technical discussions and product delivery. The Tech Stack & Culture We work in a "You build it, you ship it, you run it" culture with a strong focus on engineering quality, automation, and operational excellence. Our core technologies include: Backend: Python (primarily Django) Infrastructure: AWS, Docker, ECS Data: PostgreSQL, Redis, Snowflake Messaging: SQS, SNS CI/CD: GitHub Actions Testing: Strong focus on automated unit and integration testing Strong Engineering Fundamentals: Proven experience building production web applications using Python and Django, with a solid understanding of software engineering principles and modern backend development. Quality Mindset: You write clean, maintainable, well-tested code and understand the value of automated testing, continuous integration, and long-term maintainability. You're comfortable improving existing systems through thoughtful refactoring. Technical Curiosity: You enjoy understanding how systems work, solving complex technical problems, and continuously improving architecture, performance, and reliability. Collaboration: You communicate clearly, enjoy working in cross-functional teams, and can explain technical ideas to both engineering and non-engineering colleagues. Ownership: You take responsibility for the systems you build, proactively identify opportunities for improvement, and enjoy solving operational as well as technical challenges. Growth Mindset: You embrace feedback, enjoy learning new technologies, and use data to validate ideas and improve customer outcomes. Experience with React, TypeScript, GitHub Actions, AWS, modern CI/CD pipelines, or ecommerce platforms such as Shopify, Magento, or Salesforce Commerce Cloud would be a strong advantage. Our Ways of Working: We all come into the office on Tuesdays and Thursdays, with the option to work remotely or come into the office on the other days. We believe that in person collaboration and community spirit is super important, which is why we spend some of our time in the office and some of our time at home. Time Off: In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst's holiday year runs from 1 April to 31 March. Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss. Clothing Benefit: We want you to enjoy using the Lyst app and site as much as our customers, so we provide you with a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £1,000 with your length of service. Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start. Training Allowance: We're big on continuous learning and growth, so all employees are currently entitled to an annual training allowance of £1,000. This can be used to attend conferences, industry events, training courses and to purchase resources. Pension Scheme: Our pension provider is The People's Pension. We offer a minimum employee contribution of 5% and 3% employer contribution. Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You'll receive a free eye test every year and a discount towards glasses. Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer, you will then receive a voucher to pick up your bicycle from them. Transport Season Ticket Loan: Employees can apply for an interest free season ticket loan to support your travel to work. Social Events: Frequent company wide social events including Christmas & summer parties, sports days, themed drinks, quizzes, cook alongs, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more. Our Ways of Working: We all come into the office on Tuesdays and Thursdays, with the option to work remotely or come into the office on the other days. We believe that in person collaboration and community spirit is super important, which is why we spend some of our time in the office and some of our time at home. We want to build a world where fashion works for everyone, and we want teams that are just as inclusive. Diversity and inclusion is an integral part of our culture at Lyst. We recognise and celebrate the value and impact diversity brings to our company and are committed to ensuring this is a consistent focus, for which we are held to account. We are committed to treating all applicants fairly and equally, and encourage candidates from all backgrounds to apply for this role. We are happy to talk about flexible working arrangements. Don't meet every single requirement? Studies have shown that women and people of colour are less likely to apply to jobs unless they meet every single qualification. At Lyst we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
What you'll be doing Monitor and support business-critical data pipelines and ensure data is refreshed accurately and on time. Investigate, respond to and resolve production incidents, minimising impact and restoring service quickly. Conduct root cause analysis (RCA) and work with engineers to implement permanent fixes. Build a deep understanding of our data infrastructure, tooling and operational processes. Identify opportunities to improve reliability, performance and efficiency across our data platforms. Develop monitoring, alerting and data quality controls to proactively detect issues before they impact users. Work within an Agile environment, contributing to development and CI/CD release processes. Create and maintain technical documentation, knowledge articles and operational runbooks. Act as a technical point of contact for data pipeline and cloud platform topics. Support and mentor junior team members, sharing expertise and best practices. What we're looking for You'll bring a blend of technical expertise and a passion for continuous improvement. Essential Experience Experience supporting and maintaining enterprise data solutions, including ETL processes and data refresh activities. Strong experience with Python. Experience working with big data and data integration technologies such as Spark and Kafka. Hands-on experience with AWS, including services such as Athena, Glue, EMR, Step Functions and CloudWatch. Experience working with Snowflake and dbt. Knowledge of CI/CD practices and deployment pipelines. Experience managing and resolving IT incidents within a structured incident management framework. Strong analytical and problem-solving skills with a focus on data solutions. Understanding of event-driven or streaming architectures. Nice to have Experience with additional ETL technologies. Previous ownership of data platform monitoring and operational improvements. Exposure to Grafana. Knowledge of Scala. Why join NewDay At NewDay, we're transforming how people experience credit through technology, data and innovation. You'll work with modern cloud technologies, tackle meaningful engineering challenges, and help deliver reliable data services that support millions of customer interactions. You'll join a collaborative team where your ideas are valued, your expertise is trusted, and you'll have the opportunity to make a visible impact from day one. If you're passionate about data operations, cloud platforms and building resilient, scalable data solutions, we'd love to hear from you. We value all types of diversity. At NewDay, we value all types of diversity. We're an equal opportunity employer and believe that our differences create a vibrant, authentic working culture. We want all our colleagues to feel able to bring their whole selves to work. We don't discriminate on the basis of protected characteristics or identities. We make sure that every job is crafted to be inclusive and that people with disabilities or caring responsibilities can take part in the application and interview process. Tell us if you need accommodations: We'll put reasonable adjustments in place to support you. We work with Textio to make our job design and hiring inclusive. Contract type Permanent Through innovative consumer credit and embedded finance products powered by groundbreaking technology, we deliver over 300 million transactions every year. Our brands include Aqua, Marbles, Fluid, Bip and NewPay. We partner with leading brands such as AO, Argos, Boohoo, John Lewis and Lloyds Bank. Over 5 million UK customers are supported by our award-winning customer service.
26/07/2026
Full time
What you'll be doing Monitor and support business-critical data pipelines and ensure data is refreshed accurately and on time. Investigate, respond to and resolve production incidents, minimising impact and restoring service quickly. Conduct root cause analysis (RCA) and work with engineers to implement permanent fixes. Build a deep understanding of our data infrastructure, tooling and operational processes. Identify opportunities to improve reliability, performance and efficiency across our data platforms. Develop monitoring, alerting and data quality controls to proactively detect issues before they impact users. Work within an Agile environment, contributing to development and CI/CD release processes. Create and maintain technical documentation, knowledge articles and operational runbooks. Act as a technical point of contact for data pipeline and cloud platform topics. Support and mentor junior team members, sharing expertise and best practices. What we're looking for You'll bring a blend of technical expertise and a passion for continuous improvement. Essential Experience Experience supporting and maintaining enterprise data solutions, including ETL processes and data refresh activities. Strong experience with Python. Experience working with big data and data integration technologies such as Spark and Kafka. Hands-on experience with AWS, including services such as Athena, Glue, EMR, Step Functions and CloudWatch. Experience working with Snowflake and dbt. Knowledge of CI/CD practices and deployment pipelines. Experience managing and resolving IT incidents within a structured incident management framework. Strong analytical and problem-solving skills with a focus on data solutions. Understanding of event-driven or streaming architectures. Nice to have Experience with additional ETL technologies. Previous ownership of data platform monitoring and operational improvements. Exposure to Grafana. Knowledge of Scala. Why join NewDay At NewDay, we're transforming how people experience credit through technology, data and innovation. You'll work with modern cloud technologies, tackle meaningful engineering challenges, and help deliver reliable data services that support millions of customer interactions. You'll join a collaborative team where your ideas are valued, your expertise is trusted, and you'll have the opportunity to make a visible impact from day one. If you're passionate about data operations, cloud platforms and building resilient, scalable data solutions, we'd love to hear from you. We value all types of diversity. At NewDay, we value all types of diversity. We're an equal opportunity employer and believe that our differences create a vibrant, authentic working culture. We want all our colleagues to feel able to bring their whole selves to work. We don't discriminate on the basis of protected characteristics or identities. We make sure that every job is crafted to be inclusive and that people with disabilities or caring responsibilities can take part in the application and interview process. Tell us if you need accommodations: We'll put reasonable adjustments in place to support you. We work with Textio to make our job design and hiring inclusive. Contract type Permanent Through innovative consumer credit and embedded finance products powered by groundbreaking technology, we deliver over 300 million transactions every year. Our brands include Aqua, Marbles, Fluid, Bip and NewPay. We partner with leading brands such as AO, Argos, Boohoo, John Lewis and Lloyds Bank. Over 5 million UK customers are supported by our award-winning customer service.
Backend Software EngineerApplylocations: Londontime type: Full timeposted on: Posted Todaytime left to apply: End Date: August 21, 2026 (28 days left to apply)job requisition id: 161122 End Date Thursday 20 August 2026 Salary Range £76,760 - £115,140 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working Job Description Summary . Job Description JOB TITLE: Backend Software Engineer SALARY: £76,760 - £95,950 LOCATION: Hybrid (London) HOURS: Full Time (35 Hours) WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy. What you'll be doing As a Backend Software Engineer, you'll build elegant, performant, maintainable, operable and secure Golang microservices that power innovative financial products and services. You'll collaborate closely with product, engineering and business stakeholders to deliver customer-focused solutions, contribute to system design and architecture, champion engineering best practice, and help continuously improve development processes. You'll play a key role in building a connected platform, developing data-driven financial insights, enabling integrations with leading applications and services, and supporting the delivery of scalable, resilient systems that help customers better manage their money. Why Join us? If you think all banks are the same, you're wrong. We're a pioneering, fast-changing business that's shaping finance as a force for good. If you're after a role where you can have an impact and do the best work of your career, you've just found it What we're looking for? Strong commercial experience developing backend applications in Golang Experience building and supporting microservices architectures Experience deploying and operating applications in containerised environments, ideally Kubernetes Knowledge of relational and NoSQL databases Experience working within agile development environments Ability to diagnose and resolve issues across the application stack, including network, server and database layers Experience building concurrent, distributed applications at scale Experience working with DevOps or SRE teams to support production environments Strong communication and collaboration skills A passion for learning, continuous improvement and delivering high-quality software And it would be great if you had any of the following Experience with PHP Experience with Kafka, RabbitMQ or other messaging technologies Experience with event-driven architectures Experience of real-time, low-latency transaction-based systems Knowledge of AWS, Docker and CI/CD practices Experience with PostgreSQL, MongoDB or BigQuery Exposure to data platforms, ETL processes or machine learning-enabled products Experience mentoring, coaching or supporting the development of other engineers Previous experience within fintech, payments or a fast-paced startup environment This is a place for you Our ambition is to be the leading UK business for diversity, equity and inclusion, supporting our customers, colleagues and communities. We are committed to creating an environment in which everyone can thrive, learn and develop.We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and launch a dedicated Working with Cancer initiative. We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. As a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role and have a disability, long-term health or neurodivergent condition, through the Disability Confident Scheme.We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers - just let us know what you need. We also offer a wide-ranging benefits package, which includes A generous pension contribution of up to 15% An annual bonus award, subject to Group performance Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies Ready for a career where you'll learn and thrive? Apply today and find out more At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
26/07/2026
Full time
Backend Software EngineerApplylocations: Londontime type: Full timeposted on: Posted Todaytime left to apply: End Date: August 21, 2026 (28 days left to apply)job requisition id: 161122 End Date Thursday 20 August 2026 Salary Range £76,760 - £115,140 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working Job Description Summary . Job Description JOB TITLE: Backend Software Engineer SALARY: £76,760 - £95,950 LOCATION: Hybrid (London) HOURS: Full Time (35 Hours) WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy. What you'll be doing As a Backend Software Engineer, you'll build elegant, performant, maintainable, operable and secure Golang microservices that power innovative financial products and services. You'll collaborate closely with product, engineering and business stakeholders to deliver customer-focused solutions, contribute to system design and architecture, champion engineering best practice, and help continuously improve development processes. You'll play a key role in building a connected platform, developing data-driven financial insights, enabling integrations with leading applications and services, and supporting the delivery of scalable, resilient systems that help customers better manage their money. Why Join us? If you think all banks are the same, you're wrong. We're a pioneering, fast-changing business that's shaping finance as a force for good. If you're after a role where you can have an impact and do the best work of your career, you've just found it What we're looking for? Strong commercial experience developing backend applications in Golang Experience building and supporting microservices architectures Experience deploying and operating applications in containerised environments, ideally Kubernetes Knowledge of relational and NoSQL databases Experience working within agile development environments Ability to diagnose and resolve issues across the application stack, including network, server and database layers Experience building concurrent, distributed applications at scale Experience working with DevOps or SRE teams to support production environments Strong communication and collaboration skills A passion for learning, continuous improvement and delivering high-quality software And it would be great if you had any of the following Experience with PHP Experience with Kafka, RabbitMQ or other messaging technologies Experience with event-driven architectures Experience of real-time, low-latency transaction-based systems Knowledge of AWS, Docker and CI/CD practices Experience with PostgreSQL, MongoDB or BigQuery Exposure to data platforms, ETL processes or machine learning-enabled products Experience mentoring, coaching or supporting the development of other engineers Previous experience within fintech, payments or a fast-paced startup environment This is a place for you Our ambition is to be the leading UK business for diversity, equity and inclusion, supporting our customers, colleagues and communities. We are committed to creating an environment in which everyone can thrive, learn and develop.We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and launch a dedicated Working with Cancer initiative. We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. As a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role and have a disability, long-term health or neurodivergent condition, through the Disability Confident Scheme.We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers - just let us know what you need. We also offer a wide-ranging benefits package, which includes A generous pension contribution of up to 15% An annual bonus award, subject to Group performance Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies Ready for a career where you'll learn and thrive? Apply today and find out more At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
Be an integral part of a team that's constantly pushing the envelope to enhance, build, and deliver cutting-edge technology products. Join JPMorgan's Liquidity and Account Solutions Technology team and be part of a dynamic group dedicated to delivering innovative technology products. We are seeking motivated Java engineers to enhance our global technology organization, focusing on modern solutions for the Corporate & Investment Bank's Payments business. Our systems manage client liquidity in real-time, supporting cash demands and building a next-generation core wholesale banking platform designed for global scale and rapid response. As a Software Engineer III at JPMorgan Chase within the Liquidity and Account Solutions Technology team, you will be responsible for building and supporting services for our market-leading liquidity business. You will contribute features, enhancements and bug fixes - ensuring our codebase remains modern, well-structured and robust. You will collaborate with colleagues to perform technical analysis of client requirements, participate in estimation, planning, code reviews, architecture design sessions and retrospectives. This role offers the opportunity to learn about liquidity from colleagues, stakeholders and extensive training resources. You will have the chance to grow your skills through our curated technical development programs and dedicated training days. This exciting role provides you with the opportunity to see the direct impact of your contributions on the liquidity business and receive client feedback from around the globe. While banking experience is not required, you must be a passionate and well-rounded technologist, eager to continuously learn and enhance your skills. Job responsibilities Design and develop high-performance, latency-sensitive code, incorporate security requirements and reviewing code written by team members using software engineering best practices Write secure, high-quality code and automated tests Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by code Identify opportunities to eliminate recurring issues to improve overall operational stability of software applications and systems Participate in communities of practice across the group to drive awareness, consistency and adoption of modern technologies Add to team culture of diversity, equity, inclusion, and respect Collaborate effectively as part of a global team Provide technical leadership to small engineering sub-teams focused on the delivery of a small epic by transforming requirements into stories and a build plan Support junior colleagues in their technical growth Provide out of hours application support and coordinate of Production releases Required qualifications, capabilities, and skills Formal training or certification on Java concepts and proficient applied experience. Excellent understanding of Java fundamentals and frameworks (Spring Boot), OO programming paradigms, multi-threading, messaging technologies and computer networks Experience in building high-performance, latency-sensitive Java applications Experience in maintaining and troubleshooting software running in a Linux environment, familiarity with the Linux operating system, system utilities, containers and cloud architectures and services Experience with modern testing tools (JUnit, Mockito, Spring Test Framework) Strong interpersonal and communication skills, with experience working with globally distributed engineers and stakeholders Understanding of the full software development lifecycle and agile approach Hands-on experience with event driven architecture and distributed messaging technologies (Kafka) Preferred qualifications, capabilities, and skills Hands on experience another statically compiled language like Golang, Rust or C++ Experience with gRPC and Google Protocol Buffers Experience with caching technologies, e.g. Redis Experience with infrastructure as code software, e.g. Terraform Experience using and designing schemas/data structures in resilient SQL and NoSQL databases (e.g. CockroachDB) Familiarity with front-end technologies, like ReactJs Certified Kubernetes and public cloud knowledge (e.g. CKAD and AWS certifications) J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Design and deliver market leading products in a secure and scalable way as a seasoned member of an agile team
26/07/2026
Full time
Be an integral part of a team that's constantly pushing the envelope to enhance, build, and deliver cutting-edge technology products. Join JPMorgan's Liquidity and Account Solutions Technology team and be part of a dynamic group dedicated to delivering innovative technology products. We are seeking motivated Java engineers to enhance our global technology organization, focusing on modern solutions for the Corporate & Investment Bank's Payments business. Our systems manage client liquidity in real-time, supporting cash demands and building a next-generation core wholesale banking platform designed for global scale and rapid response. As a Software Engineer III at JPMorgan Chase within the Liquidity and Account Solutions Technology team, you will be responsible for building and supporting services for our market-leading liquidity business. You will contribute features, enhancements and bug fixes - ensuring our codebase remains modern, well-structured and robust. You will collaborate with colleagues to perform technical analysis of client requirements, participate in estimation, planning, code reviews, architecture design sessions and retrospectives. This role offers the opportunity to learn about liquidity from colleagues, stakeholders and extensive training resources. You will have the chance to grow your skills through our curated technical development programs and dedicated training days. This exciting role provides you with the opportunity to see the direct impact of your contributions on the liquidity business and receive client feedback from around the globe. While banking experience is not required, you must be a passionate and well-rounded technologist, eager to continuously learn and enhance your skills. Job responsibilities Design and develop high-performance, latency-sensitive code, incorporate security requirements and reviewing code written by team members using software engineering best practices Write secure, high-quality code and automated tests Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by code Identify opportunities to eliminate recurring issues to improve overall operational stability of software applications and systems Participate in communities of practice across the group to drive awareness, consistency and adoption of modern technologies Add to team culture of diversity, equity, inclusion, and respect Collaborate effectively as part of a global team Provide technical leadership to small engineering sub-teams focused on the delivery of a small epic by transforming requirements into stories and a build plan Support junior colleagues in their technical growth Provide out of hours application support and coordinate of Production releases Required qualifications, capabilities, and skills Formal training or certification on Java concepts and proficient applied experience. Excellent understanding of Java fundamentals and frameworks (Spring Boot), OO programming paradigms, multi-threading, messaging technologies and computer networks Experience in building high-performance, latency-sensitive Java applications Experience in maintaining and troubleshooting software running in a Linux environment, familiarity with the Linux operating system, system utilities, containers and cloud architectures and services Experience with modern testing tools (JUnit, Mockito, Spring Test Framework) Strong interpersonal and communication skills, with experience working with globally distributed engineers and stakeholders Understanding of the full software development lifecycle and agile approach Hands-on experience with event driven architecture and distributed messaging technologies (Kafka) Preferred qualifications, capabilities, and skills Hands on experience another statically compiled language like Golang, Rust or C++ Experience with gRPC and Google Protocol Buffers Experience with caching technologies, e.g. Redis Experience with infrastructure as code software, e.g. Terraform Experience using and designing schemas/data structures in resilient SQL and NoSQL databases (e.g. CockroachDB) Familiarity with front-end technologies, like ReactJs Certified Kubernetes and public cloud knowledge (e.g. CKAD and AWS certifications) J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Design and deliver market leading products in a secure and scalable way as a seasoned member of an agile team
At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact. As a Lead Data Engineer at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific banking functions and products, providing opportunities to build data pipelines and reporting capabilities for functional areas such as finance and business management, treasury operations, financial crime prevention, regulatory reporting and analytics. We collaborate with product teams such as card payments, electronic payments, lending, customer onboarding, core banking, and insurance to understand their product datamodels and deliver tailored data solutions that meet business needs. Job responsibilities • Deliver end-to-end data pipeline solutions on cloud infrastructure leveraging the latest technologies and the best industry practices • Use domain modelling techniques to allow us to build best in class business products. • Structure software so that it is easy to understand, test and evolve. • Build solutions that avoid single points of failure, using scalable architectural patterns. • Develop secure code so that our customers and ourselves are protected from malicious actors. • Promptly investigate and fix issues and ensure they do not resurface in the future. • Make sure our releases happen with zero downtime for our end-users. • See that our data is written and read in a way that's optimized for our needs. • Keep an eye on performance, making sure we use the right approach to identify and solve problems. • Ensure our systems are reliable and easy to operate. • Keep us up to date by continuously updating our technologies and patterns. • Support the products you've built through their entire lifecycle, including in production and during incident management Required qualifications, capabilities & skills • Formal training or certification on data engineering concepts and applied experience • Recent hands-on professional experience as a data engineer • Experience in coding in a recent version of the Python programming language • Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.) • Excellent written and verbal communication skills in English • Experience with cloud technologies and distributed systems • Experience with data transformation frameworks and data pipeline orchestration tools • Experience with managing large volumes of data and optimizing data processing • Understanding of event-base architecture, data streaming and messaging frameworks • Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions. • Manage stakeholders and effectively prioritize work across multiple work streams. Preferred qualifications, capabilities & skills • Experience in working in a highly regulated environment / industry • Experience with AWS cloud technologies • Experience with data governance frameworks • Understanding of incremental data processing and versioning • Understanding of RESTful APIs and web technologies J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution.
26/07/2026
Full time
At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact. As a Lead Data Engineer at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific banking functions and products, providing opportunities to build data pipelines and reporting capabilities for functional areas such as finance and business management, treasury operations, financial crime prevention, regulatory reporting and analytics. We collaborate with product teams such as card payments, electronic payments, lending, customer onboarding, core banking, and insurance to understand their product datamodels and deliver tailored data solutions that meet business needs. Job responsibilities • Deliver end-to-end data pipeline solutions on cloud infrastructure leveraging the latest technologies and the best industry practices • Use domain modelling techniques to allow us to build best in class business products. • Structure software so that it is easy to understand, test and evolve. • Build solutions that avoid single points of failure, using scalable architectural patterns. • Develop secure code so that our customers and ourselves are protected from malicious actors. • Promptly investigate and fix issues and ensure they do not resurface in the future. • Make sure our releases happen with zero downtime for our end-users. • See that our data is written and read in a way that's optimized for our needs. • Keep an eye on performance, making sure we use the right approach to identify and solve problems. • Ensure our systems are reliable and easy to operate. • Keep us up to date by continuously updating our technologies and patterns. • Support the products you've built through their entire lifecycle, including in production and during incident management Required qualifications, capabilities & skills • Formal training or certification on data engineering concepts and applied experience • Recent hands-on professional experience as a data engineer • Experience in coding in a recent version of the Python programming language • Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.) • Excellent written and verbal communication skills in English • Experience with cloud technologies and distributed systems • Experience with data transformation frameworks and data pipeline orchestration tools • Experience with managing large volumes of data and optimizing data processing • Understanding of event-base architecture, data streaming and messaging frameworks • Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions. • Manage stakeholders and effectively prioritize work across multiple work streams. Preferred qualifications, capabilities & skills • Experience in working in a highly regulated environment / industry • Experience with AWS cloud technologies • Experience with data governance frameworks • Understanding of incremental data processing and versioning • Understanding of RESTful APIs and web technologies J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution.
JOB DESCRIPTION Help shape the next wave of Applied AI innovation in Markets Operations by turning ideas into production-ready solutions. You will build practical AI capabilities that improve workflows, strengthen controls, and unlock productivity for teams across the organization. Working alongside engineers, AI specialists, and operations partners, you will bridge cutting edge techniques with enterprise grade systems. At JPMorganChase, you can grow your career through meaningful work, strong mentorship, and hands on ownership. Join a team that values creativity, collaboration, and continuous learning. As an Applied AI Engineer in the applied AI team within Markets Operations, you will design, build, test, and deploy scalable AI services integrated with strategic systems and operational processes. You will collaborate with software engineers, AI and data science specialists, operations stakeholders, and business partners to improve operational workflows, controls, and the software development lifecycle. You will focus on hands on engineering across Python services, APIs, data pipelines, infrastructure, monitoring, and production readiness. You will build domain knowledge across Markets Operations and translate real workflow pain points into durable solutions. You will contribute to a culture of innovation, collaboration, and engineering excellence. Job Responsibilities Contribute to technology and architecture patterns that enable AI solutions across Markets Operations and software engineering use cases Build and enhance robust, scalable, reusable AI services and supporting infrastructure using modern technologies Collaborate with AI and data science specialists to design, develop, test, and deploy services integrated with strategic systems and operational processes Learn Markets Operations processes and apply that knowledge to develop practical solutions and integrations with banking operations systems Evaluate new AI infrastructure technologies and share findings to inform team technical decisions Document designs, implementation details, and tradeoffs to support maintainability and knowledge sharing Support scalability, reliability, and security of AI and machine learning solutions in production, with a focus on operational readiness and sustainability Partner with operations stakeholders to understand workflow pain points and translate them into practical technology solutions Required Qualifications, Capabilities, and Skills Hold a Bachelor's or Master's degree in Computer Science, Software Engineering, a related field, or equivalent practical experience Demonstrate strong Python programming skills Design, develop, and integrate RESTful APIs, such as with FastAPI Build and support ETL and data pipeline engineering workflows Apply Infrastructure as Code practices, such as Terraform, and work within CI/CD pipelines Design and integrate databases and data models Apply monitoring practices and understand controls and compliance concepts in production environments Communicate effectively in writing and verbally, explaining technical concepts to technical and non technical audiences Collaborate effectively on multi disciplinary teams and incorporate feedback into your work Preferred Qualifications, Capabilities, and Skills Apply AI and machine learning concepts with a strong interest in applied AI productization Bring experience from academic work, projects, internships, or roles applying AI in finance, operations, markets, or enterprise technology Demonstrate familiarity with Markets Operations processes such as trade lifecycle, post trade operations, reconciliations, controls, or exception management Use AWS and tools such as MLflow Develop front end capabilities with React or modern front end development Apply graph database modeling concepts Why Join Us? Your contributions will help redefine what's possible in financial services. You'll be part of a team that values creativity, collaboration, and continuous learning, empowering you to make a real impact and grow your career. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first class business in a first class way approach to serving clients drives everything we do. We strive to build trusted, long term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQsfor more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
26/07/2026
Full time
JOB DESCRIPTION Help shape the next wave of Applied AI innovation in Markets Operations by turning ideas into production-ready solutions. You will build practical AI capabilities that improve workflows, strengthen controls, and unlock productivity for teams across the organization. Working alongside engineers, AI specialists, and operations partners, you will bridge cutting edge techniques with enterprise grade systems. At JPMorganChase, you can grow your career through meaningful work, strong mentorship, and hands on ownership. Join a team that values creativity, collaboration, and continuous learning. As an Applied AI Engineer in the applied AI team within Markets Operations, you will design, build, test, and deploy scalable AI services integrated with strategic systems and operational processes. You will collaborate with software engineers, AI and data science specialists, operations stakeholders, and business partners to improve operational workflows, controls, and the software development lifecycle. You will focus on hands on engineering across Python services, APIs, data pipelines, infrastructure, monitoring, and production readiness. You will build domain knowledge across Markets Operations and translate real workflow pain points into durable solutions. You will contribute to a culture of innovation, collaboration, and engineering excellence. Job Responsibilities Contribute to technology and architecture patterns that enable AI solutions across Markets Operations and software engineering use cases Build and enhance robust, scalable, reusable AI services and supporting infrastructure using modern technologies Collaborate with AI and data science specialists to design, develop, test, and deploy services integrated with strategic systems and operational processes Learn Markets Operations processes and apply that knowledge to develop practical solutions and integrations with banking operations systems Evaluate new AI infrastructure technologies and share findings to inform team technical decisions Document designs, implementation details, and tradeoffs to support maintainability and knowledge sharing Support scalability, reliability, and security of AI and machine learning solutions in production, with a focus on operational readiness and sustainability Partner with operations stakeholders to understand workflow pain points and translate them into practical technology solutions Required Qualifications, Capabilities, and Skills Hold a Bachelor's or Master's degree in Computer Science, Software Engineering, a related field, or equivalent practical experience Demonstrate strong Python programming skills Design, develop, and integrate RESTful APIs, such as with FastAPI Build and support ETL and data pipeline engineering workflows Apply Infrastructure as Code practices, such as Terraform, and work within CI/CD pipelines Design and integrate databases and data models Apply monitoring practices and understand controls and compliance concepts in production environments Communicate effectively in writing and verbally, explaining technical concepts to technical and non technical audiences Collaborate effectively on multi disciplinary teams and incorporate feedback into your work Preferred Qualifications, Capabilities, and Skills Apply AI and machine learning concepts with a strong interest in applied AI productization Bring experience from academic work, projects, internships, or roles applying AI in finance, operations, markets, or enterprise technology Demonstrate familiarity with Markets Operations processes such as trade lifecycle, post trade operations, reconciliations, controls, or exception management Use AWS and tools such as MLflow Develop front end capabilities with React or modern front end development Apply graph database modeling concepts Why Join Us? Your contributions will help redefine what's possible in financial services. You'll be part of a team that values creativity, collaboration, and continuous learning, empowering you to make a real impact and grow your career. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first class business in a first class way approach to serving clients drives everything we do. We strive to build trusted, long term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQsfor more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Build the data platform that powers Veygo's future. You'll lead the engineering capability that sits at the heart of Veygo's data ecosystem, ensuring trusted, secure and scalable data is available to power analytics, reporting, product development and the next generation of AI-enabled experiences. As the technical lead for Veygo's data platform, you'll shape the foundations that enable better decision-making across the business. From building resilient data pipelines and reusable data models to improving platform reliability, governance and observability, you'll create the capabilities that allow teams to move faster with confidence. You'll combine hands-on technical leadership with people management, building a modern data platform that supports today's business while preparing Veygo for tomorrow. Why this role matters As Data Platform Lead, you'll own the roadmap for one of Veygo's most important technology capabilities, ensuring our data platform is reliable, scalable and ready to support future growth. This is a true player-coach role. Around 70% of your time will be spent designing, building and improving the platform yourself, while the remaining 30% will focus on coaching engineers, setting technical standards and partnering with stakeholders to ensure the platform evolves in line with business priorities. Success in this role means Veygo has trusted, well-governed and AI-ready data foundations that enable analytics, reporting, experimentation and future data products to thrive. What you'll be doing Own and deliver the roadmap for Veygo's data platform, balancing new capabilities with resilience, technical debt and long-term platform evolution. Lead the design, development and operation of robust, scalable and secure data pipelines, reusable data models and platform services. Establish engineering standards across code quality, testing, deployment, documentation, monitoring and operational support. Build trusted data foundations that enable analytics, reporting, experimentation, operational data products and future AI capabilities. Partner with Analytics, Product, Engineering and Architecture teams to ensure the platform supports current and future business needs. Improve platform reliability, observability, data quality and operational resilience. Ensure datasets are well-modeled, documented, discoverable and governed to support self-service analytics and AI readiness. Translate business and analytical requirements into scalable technical solutions. Act as the technical escalation point for complex engineering challenges and production issues. Coach and line manage a team of Data Engineers, raising engineering capability, technical quality and delivery standards across the team. We're looking for someone who has Strong hands-on experience designing, building and operating modern data platforms. Excellent SQL skills and strong software engineering fundamentals. Experience building production-grade data pipelines and reusable data models. Experience with modern cloud data platforms and engineering best practices, including orchestration, CI/CD and infrastructure automation. A strong understanding of data quality, governance, lineage, observability, monitoring and operational support. Experience enabling analytics through trusted, reusable and well-documented datasets. An understanding of the technical foundations required for AI-ready data platforms. Experience coaching, mentoring or leading Data Engineers. Strong stakeholder management skills with the ability to communicate technical concepts clearly to non-technical audiences. Sound judgement when balancing speed, scalability, reliability, governance and cost. It would be great if you also have: Experience with cloud platforms such as Databricks, Snowflake, Azure, AWS, BigQuery or similar technologies. Experience with modern orchestration and transformation tools. Experience working within regulated or highly governed environments. Experience supporting analytics, machine learning or operational data products. Knowledge of data governance, access management and security best practices. Why Veygo? At Veygo, we're here to unlock independence. For young drivers, getting on the road is a massive life moment - freedom, confidence, responsibility, and finally not needing a lift everywhere. For parents, it's a big moment too: letting go, while knowing their child is protected and supported. We make insurance the easy bit. Since launching in 2016, we've helped more than one million customers and sold over eight million policies by making car insurance simpler, more flexible and built around real life. Now, we're evolving from short-term cover into a brand that supports young drivers through their first years on the road - helping them build safer habits, manage costs and move forward with confidence. Backed by Admiral Group, we combine scale-up energy with the strength, trust and expertise of one of the UK's leading insurers. Our teams get the freedom to experiment, the ownership to make things happen and the platform to build products that reach millions. If you want to solve real customer problems, work with smart cross-functional teams and help shape the future of insurance for young drivers, you'll fit right in. What you'll get in return We believe exceptional people do their best work when they're trusted, supported and rewarded. Alongside a competitive salary, you'll receive a benefits package designed to help you grow your career, share in our success and maintain a healthy work-life balance. Highlights include: A generous share scheme, giving you the opportunity to become a shareholder and share in Admiral's success. 33 days' holiday (including bank holidays), increasing with service, plus the option to buy or sell up to five additional days. Ongoing learning and development, leadership programmes and opportunities to grow your career across Admiral Group. Flexible hybrid working, with most colleagues spending one or two days a week in our Central Cardiff office. A people-first culture recognised as a Great Place to Work for more than 25 years, including awards for Wellbeing and Women. To explore our full range of benefits, including wellbeing support, healthcare, family-friendly policies and financial benefits, visit our Benefits Page. Disability Confident Leader As a Disability Confident Leader, for candidates with a disability or long-term health condition, that opt into the Disability Confident scheme, we'll invite a fair and proportionate number of applicants that meet the essential requirements of the role to the first stage of our selection process.
26/07/2026
Full time
Build the data platform that powers Veygo's future. You'll lead the engineering capability that sits at the heart of Veygo's data ecosystem, ensuring trusted, secure and scalable data is available to power analytics, reporting, product development and the next generation of AI-enabled experiences. As the technical lead for Veygo's data platform, you'll shape the foundations that enable better decision-making across the business. From building resilient data pipelines and reusable data models to improving platform reliability, governance and observability, you'll create the capabilities that allow teams to move faster with confidence. You'll combine hands-on technical leadership with people management, building a modern data platform that supports today's business while preparing Veygo for tomorrow. Why this role matters As Data Platform Lead, you'll own the roadmap for one of Veygo's most important technology capabilities, ensuring our data platform is reliable, scalable and ready to support future growth. This is a true player-coach role. Around 70% of your time will be spent designing, building and improving the platform yourself, while the remaining 30% will focus on coaching engineers, setting technical standards and partnering with stakeholders to ensure the platform evolves in line with business priorities. Success in this role means Veygo has trusted, well-governed and AI-ready data foundations that enable analytics, reporting, experimentation and future data products to thrive. What you'll be doing Own and deliver the roadmap for Veygo's data platform, balancing new capabilities with resilience, technical debt and long-term platform evolution. Lead the design, development and operation of robust, scalable and secure data pipelines, reusable data models and platform services. Establish engineering standards across code quality, testing, deployment, documentation, monitoring and operational support. Build trusted data foundations that enable analytics, reporting, experimentation, operational data products and future AI capabilities. Partner with Analytics, Product, Engineering and Architecture teams to ensure the platform supports current and future business needs. Improve platform reliability, observability, data quality and operational resilience. Ensure datasets are well-modeled, documented, discoverable and governed to support self-service analytics and AI readiness. Translate business and analytical requirements into scalable technical solutions. Act as the technical escalation point for complex engineering challenges and production issues. Coach and line manage a team of Data Engineers, raising engineering capability, technical quality and delivery standards across the team. We're looking for someone who has Strong hands-on experience designing, building and operating modern data platforms. Excellent SQL skills and strong software engineering fundamentals. Experience building production-grade data pipelines and reusable data models. Experience with modern cloud data platforms and engineering best practices, including orchestration, CI/CD and infrastructure automation. A strong understanding of data quality, governance, lineage, observability, monitoring and operational support. Experience enabling analytics through trusted, reusable and well-documented datasets. An understanding of the technical foundations required for AI-ready data platforms. Experience coaching, mentoring or leading Data Engineers. Strong stakeholder management skills with the ability to communicate technical concepts clearly to non-technical audiences. Sound judgement when balancing speed, scalability, reliability, governance and cost. It would be great if you also have: Experience with cloud platforms such as Databricks, Snowflake, Azure, AWS, BigQuery or similar technologies. Experience with modern orchestration and transformation tools. Experience working within regulated or highly governed environments. Experience supporting analytics, machine learning or operational data products. Knowledge of data governance, access management and security best practices. Why Veygo? At Veygo, we're here to unlock independence. For young drivers, getting on the road is a massive life moment - freedom, confidence, responsibility, and finally not needing a lift everywhere. For parents, it's a big moment too: letting go, while knowing their child is protected and supported. We make insurance the easy bit. Since launching in 2016, we've helped more than one million customers and sold over eight million policies by making car insurance simpler, more flexible and built around real life. Now, we're evolving from short-term cover into a brand that supports young drivers through their first years on the road - helping them build safer habits, manage costs and move forward with confidence. Backed by Admiral Group, we combine scale-up energy with the strength, trust and expertise of one of the UK's leading insurers. Our teams get the freedom to experiment, the ownership to make things happen and the platform to build products that reach millions. If you want to solve real customer problems, work with smart cross-functional teams and help shape the future of insurance for young drivers, you'll fit right in. What you'll get in return We believe exceptional people do their best work when they're trusted, supported and rewarded. Alongside a competitive salary, you'll receive a benefits package designed to help you grow your career, share in our success and maintain a healthy work-life balance. Highlights include: A generous share scheme, giving you the opportunity to become a shareholder and share in Admiral's success. 33 days' holiday (including bank holidays), increasing with service, plus the option to buy or sell up to five additional days. Ongoing learning and development, leadership programmes and opportunities to grow your career across Admiral Group. Flexible hybrid working, with most colleagues spending one or two days a week in our Central Cardiff office. A people-first culture recognised as a Great Place to Work for more than 25 years, including awards for Wellbeing and Women. To explore our full range of benefits, including wellbeing support, healthcare, family-friendly policies and financial benefits, visit our Benefits Page. Disability Confident Leader As a Disability Confident Leader, for candidates with a disability or long-term health condition, that opt into the Disability Confident scheme, we'll invite a fair and proportionate number of applicants that meet the essential requirements of the role to the first stage of our selection process.
We are looking for a Senior AI Engineer to join our growing Applied AI team. This is ahands-on, technically demanding role for someone who can contribute to building production AI systems while helping raise the technical bar of the team around them. You will work collaboratively across a fast-moving technology company, turningcutting-edgeresearch into practical, scalable solutions.This role reportsto the AppliedAILead. Responsibilities Lead data identification, cleaning, enrichment, preprocessing,feature engineering,andexploratoryanalysis to ensure fitness for AI workflows and to inform modelling and business decisions. Build, tune, andoptimisemachine learning, deep learning, and generative AI models,leveragingboth established andcutting-edgetechniques. Designand buildLLM-powered systems- RAG pipelines, prompt and context engineering, fine-tuning, structured outputs, function calling, context-window management,and secure model integration;selectingappropriately between standard and reasoning (test-time-compute) models, balancing capability against latency and cost. Designand buildagentic AI systems- tool-calling architectures, interoperability protocols (MCP, agent-to-agent), multi-agent orchestration, and multi-step reasoning with human-in-the-loop andappropriate trust, safety, and security boundaries. Leverageand contributeto agentic engineering tooling, including coding assistants,configurable permissions models,internal skills and plugins architectures, and sandboxed autonomous workflows integrated intoCI/CDand delivery pipelines. Applymodel adaptation techniques including parameter-efficient fine-tuning(LoRA,QLoRA), modeldistillation, and synthetic data generation for domain-specific and low-resource scenarios. Develop evaluation frameworks covering performance, hallucination, safety, cost, and non-deterministicbehaviouracross classical and generative AI systems. Optimisemodel inference and end-to-end pipelines for speed, cost, memory footprint, and scalability, including for CPU-constrained andairgappeddeployment targets. Develop andmaintainproduction-grade model pipelines and supporting software with strongMLOpspractices - covering real-time inference, batch processing, performance monitoring, drift detection, scheduled retraining, observability, governance, version control, and reproducibility. Providetechnicalguidance- architectural input, peer review, and mentoring of mid-level and junior engineers through code review, pairing, and knowledge sharing - raising the technical bar of the team and shaping secure, scalable, high-performing AI solutions. Work within Agile delivery teams - collaborating with data, platform, and software engineers to integrate AI into products, communicating clearly with technical and non-technical stakeholders, and championing engineering excellence and continuous improvement. Stay current with the latest research, frameworks, and trends across ML, deep learning, and GenAI, translating them into production-ready solutions. Required Knowledge, experience and values 5+ years of commercialexperience in AI and machine learning engineering and development - academic research experience is highly valued alongside this, buta track recordof commercial delivery is essential -withdemonstrabledelivery of production-grade models and systems across traditional ML, neural networks, and LLM-based systems. 5+years of commercial experience working withPython;familiaritywith C# is considered a bonus due to existing product integrations. Hold an advanced degree in machine learning, computer science, engineering, or a related discipline, with an MScrequiredand a PhD highly desirable. Deep hands-on experience withPyTorch, Scikit-learn, and the Hugging Face ecosystem, with familiarity withMLFlowandAzureML; capable of making architecture and implementation decisions. Strong competence with Git, pull requests, automated testing, CI/CD,MLOps, and ML pipelines; experience with Azure DevOps and cloud-based ML infrastructure (Azure, AWS, or GCP) is beneficial. Strong grounding inclassical data science fundamentals - feature engineering, statistical analysis, experimental design, and model monitoring - alongside benchmarkingand the evaluation of non-deterministic AI systems. Practical experience with inferenceoptimisationincludingquantisation, latency reduction, cost-aware model selection, and resource-efficient deployment. Communicate clearly, translating complex technical work into actionable recommendations, and produce high-quality documentation including technical decision records. Operate independently and make sound technical decisions within complex, ambiguous contexts, witha track recordof owning problems end-to-end. Prior cybersecurity or business domainexpertiseis not a prerequisite, although would be highly relevant. We encourage you to apply even if your experience is not a 100% match with the position. Beneficial Knowledge, experience, and values Familiarity with containerisation (Docker, Kubernetes), event-driven or microservices architectures, and distributed data processing at scale. Experience with embedding pipelines, vector search, and semantic retrieval for RAG systems. Knowledge of LLM evaluation techniques including structured evals frameworks, hallucination mitigation, benchmarking, and human-in-the-loop evaluation. Understanding of AI safety, responsible AI principles, governance, and regulatoryand standardsawareness (e.g. EU AI Act, NIST AI RMF, ISO/IEC 42001), including bias detection, explainability, and auditability. Familiarity with security best practices in AI systems, particularly around prompt injection risks, data handling, and model misuse. Understanding of AI applied in cybersecurity contexts, including concept drift, adversarial robustness, andmodel assurance challenges. Exposure to data engineering practices including ETL/ELT pipelines, data versioning, and schema management. Awareness of multi-modal data handling include vision, audio, or document-based inputs. Contributions to open-source projects, research publications, or participation in AI/ML communities and conferences. Demonstrated curiosity and ability to balance research-oriented thinking with pragmatic engineering delivery in a commercial environment. About Us We didn't start out as a traditional security product. In the beginning, Glasswall was one of only two file sanitization filters in the US Intelligence Community's highly classified networks. We are rated by the National Security Agency. We designed Glasswall CDR to protect businesses against the most advanced file-based threats. Today, we're trusted by commercial and government organisations around the world. In June 2025 Glasswall officially entered a new era of growth and innovation having been acquired by the leading private equity firm, PSG Equity. This marks a significant milestone for our company and one that underscores the strength of our business, the dedication of our team, and the exciting potential that lies ahead. With PSG's strong track record of scaling high-growth cybersecurity and technology businesses, we are better positioned than ever to accelerate innovation, expand into new markets, and deliver even greater value to our clients, employees, and stakeholders. Cybersecurity is a mission-critical field, and we've always believed that staying ahead means moving faster, continually adapting to meet new challenges and investing more boldly in the future. This partnership empowers us to do exactly that while maintaining the same leadership, values, and commitment to excellence that have brought us this far We're excited for what's to come so now is a great time for you to join us on our journey. Inclusion At Glasswall we believe that diversity of people and thought are central to our purpose. We are committed to making Glasswall a company that is attractive to people of many different backgrounds. This includes diversity in every sense of the word: those with different backgrounds, ages, ethnicities, gender identities, sexual orientations, ways of thinking and those with disabilities or neurodivergent conditions. We therefore welcome and encourage applications from everyone, including those from groups that are under-represented in our workforce. One of our corporate objectives is to ensure that the organisational health of the firm is highly rated by our employees. We believe that this is only possible if we promote a culture of inclusion and respect across our business. Every six months we survey employees on a range of questions relating to our organisational health. This holds a mirror-up to a business and ensures that we can focus on where we need to do better. We have an Organisational Health Committee, which is chaired by a non-executive position. The panel has been formed to guide the leadership in taking positive action that supports a good work-life balance, family friendly relations and to be inviting to a diverse range of potential employees. We also have a Women in Technology Group which has been formed to promote balance in the way that we communicate with, promote, encourage, and support people across our business. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life . click apply for full job details
26/07/2026
Full time
We are looking for a Senior AI Engineer to join our growing Applied AI team. This is ahands-on, technically demanding role for someone who can contribute to building production AI systems while helping raise the technical bar of the team around them. You will work collaboratively across a fast-moving technology company, turningcutting-edgeresearch into practical, scalable solutions.This role reportsto the AppliedAILead. Responsibilities Lead data identification, cleaning, enrichment, preprocessing,feature engineering,andexploratoryanalysis to ensure fitness for AI workflows and to inform modelling and business decisions. Build, tune, andoptimisemachine learning, deep learning, and generative AI models,leveragingboth established andcutting-edgetechniques. Designand buildLLM-powered systems- RAG pipelines, prompt and context engineering, fine-tuning, structured outputs, function calling, context-window management,and secure model integration;selectingappropriately between standard and reasoning (test-time-compute) models, balancing capability against latency and cost. Designand buildagentic AI systems- tool-calling architectures, interoperability protocols (MCP, agent-to-agent), multi-agent orchestration, and multi-step reasoning with human-in-the-loop andappropriate trust, safety, and security boundaries. Leverageand contributeto agentic engineering tooling, including coding assistants,configurable permissions models,internal skills and plugins architectures, and sandboxed autonomous workflows integrated intoCI/CDand delivery pipelines. Applymodel adaptation techniques including parameter-efficient fine-tuning(LoRA,QLoRA), modeldistillation, and synthetic data generation for domain-specific and low-resource scenarios. Develop evaluation frameworks covering performance, hallucination, safety, cost, and non-deterministicbehaviouracross classical and generative AI systems. Optimisemodel inference and end-to-end pipelines for speed, cost, memory footprint, and scalability, including for CPU-constrained andairgappeddeployment targets. Develop andmaintainproduction-grade model pipelines and supporting software with strongMLOpspractices - covering real-time inference, batch processing, performance monitoring, drift detection, scheduled retraining, observability, governance, version control, and reproducibility. Providetechnicalguidance- architectural input, peer review, and mentoring of mid-level and junior engineers through code review, pairing, and knowledge sharing - raising the technical bar of the team and shaping secure, scalable, high-performing AI solutions. Work within Agile delivery teams - collaborating with data, platform, and software engineers to integrate AI into products, communicating clearly with technical and non-technical stakeholders, and championing engineering excellence and continuous improvement. Stay current with the latest research, frameworks, and trends across ML, deep learning, and GenAI, translating them into production-ready solutions. Required Knowledge, experience and values 5+ years of commercialexperience in AI and machine learning engineering and development - academic research experience is highly valued alongside this, buta track recordof commercial delivery is essential -withdemonstrabledelivery of production-grade models and systems across traditional ML, neural networks, and LLM-based systems. 5+years of commercial experience working withPython;familiaritywith C# is considered a bonus due to existing product integrations. Hold an advanced degree in machine learning, computer science, engineering, or a related discipline, with an MScrequiredand a PhD highly desirable. Deep hands-on experience withPyTorch, Scikit-learn, and the Hugging Face ecosystem, with familiarity withMLFlowandAzureML; capable of making architecture and implementation decisions. Strong competence with Git, pull requests, automated testing, CI/CD,MLOps, and ML pipelines; experience with Azure DevOps and cloud-based ML infrastructure (Azure, AWS, or GCP) is beneficial. Strong grounding inclassical data science fundamentals - feature engineering, statistical analysis, experimental design, and model monitoring - alongside benchmarkingand the evaluation of non-deterministic AI systems. Practical experience with inferenceoptimisationincludingquantisation, latency reduction, cost-aware model selection, and resource-efficient deployment. Communicate clearly, translating complex technical work into actionable recommendations, and produce high-quality documentation including technical decision records. Operate independently and make sound technical decisions within complex, ambiguous contexts, witha track recordof owning problems end-to-end. Prior cybersecurity or business domainexpertiseis not a prerequisite, although would be highly relevant. We encourage you to apply even if your experience is not a 100% match with the position. Beneficial Knowledge, experience, and values Familiarity with containerisation (Docker, Kubernetes), event-driven or microservices architectures, and distributed data processing at scale. Experience with embedding pipelines, vector search, and semantic retrieval for RAG systems. Knowledge of LLM evaluation techniques including structured evals frameworks, hallucination mitigation, benchmarking, and human-in-the-loop evaluation. Understanding of AI safety, responsible AI principles, governance, and regulatoryand standardsawareness (e.g. EU AI Act, NIST AI RMF, ISO/IEC 42001), including bias detection, explainability, and auditability. Familiarity with security best practices in AI systems, particularly around prompt injection risks, data handling, and model misuse. Understanding of AI applied in cybersecurity contexts, including concept drift, adversarial robustness, andmodel assurance challenges. Exposure to data engineering practices including ETL/ELT pipelines, data versioning, and schema management. Awareness of multi-modal data handling include vision, audio, or document-based inputs. Contributions to open-source projects, research publications, or participation in AI/ML communities and conferences. Demonstrated curiosity and ability to balance research-oriented thinking with pragmatic engineering delivery in a commercial environment. About Us We didn't start out as a traditional security product. In the beginning, Glasswall was one of only two file sanitization filters in the US Intelligence Community's highly classified networks. We are rated by the National Security Agency. We designed Glasswall CDR to protect businesses against the most advanced file-based threats. Today, we're trusted by commercial and government organisations around the world. In June 2025 Glasswall officially entered a new era of growth and innovation having been acquired by the leading private equity firm, PSG Equity. This marks a significant milestone for our company and one that underscores the strength of our business, the dedication of our team, and the exciting potential that lies ahead. With PSG's strong track record of scaling high-growth cybersecurity and technology businesses, we are better positioned than ever to accelerate innovation, expand into new markets, and deliver even greater value to our clients, employees, and stakeholders. Cybersecurity is a mission-critical field, and we've always believed that staying ahead means moving faster, continually adapting to meet new challenges and investing more boldly in the future. This partnership empowers us to do exactly that while maintaining the same leadership, values, and commitment to excellence that have brought us this far We're excited for what's to come so now is a great time for you to join us on our journey. Inclusion At Glasswall we believe that diversity of people and thought are central to our purpose. We are committed to making Glasswall a company that is attractive to people of many different backgrounds. This includes diversity in every sense of the word: those with different backgrounds, ages, ethnicities, gender identities, sexual orientations, ways of thinking and those with disabilities or neurodivergent conditions. We therefore welcome and encourage applications from everyone, including those from groups that are under-represented in our workforce. One of our corporate objectives is to ensure that the organisational health of the firm is highly rated by our employees. We believe that this is only possible if we promote a culture of inclusion and respect across our business. Every six months we survey employees on a range of questions relating to our organisational health. This holds a mirror-up to a business and ensures that we can focus on where we need to do better. We have an Organisational Health Committee, which is chaired by a non-executive position. The panel has been formed to guide the leadership in taking positive action that supports a good work-life balance, family friendly relations and to be inviting to a diverse range of potential employees. We also have a Women in Technology Group which has been formed to promote balance in the way that we communicate with, promote, encourage, and support people across our business. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life . click apply for full job details
Join us and take your career to new heights as a Lead Java Software Engineer. You'll have the opportunity to influence major technology decisions and mentor talented engineers. We value your expertise and encourage you to push boundaries, solve complex challenges, and grow professionally. Our team thrives on collaboration, creativity, and continuous learning. Experience a supportive environment where your contributions matter. Job Summary: As a Lead Java Software Engineer in our Glasgow Technology Hub, you will guide the development of high-quality software solutions that power our business. You'll work closely with cross-functional teams to deliver scalable applications and drive best practices. Your leadership will help foster a culture of innovation and technical excellence. You will play a key role in shaping our technology roadmap and mentoring engineers as well as leveraging AI and machine learning to drive innovation and deliver smarter solutions. Together, we'll build solutions that make a difference. Job Responsibilities: Lead the design, development, and deployment of Java-based applications Collaborate with stakeholders to define technical requirements and project goals Mentor and support engineers, fostering growth and knowledge sharing Drive code quality, performance, and security standards across projects Implement best practices in software engineering and agile methodologies Troubleshoot and resolve complex technical issues Review code and provide constructive feedback to team members Coordinate with other teams to ensure seamless integration of systems Champion innovation and continuous improvement within the team Manage project timelines and deliverables to meet business objectives Communicate progress and challenges effectively to leadership Job Qualifications, Capabilities, and Skills: Demonstrate proficiency in Java and object-oriented programming Apply strong problem-solving and analytical skills Utilize experience with software architecture and design patterns Work effectively in agile development environments Communicate clearly and collaborate with diverse teams Lead and motivate others in a fast-paced setting Ensure code quality through testing and review processes Manage multiple priorities and adapt to changing requirements Uphold security and compliance standards in software development Use version control tools such as Git Apply knowledge of RESTful APIs and microservices Preferred Qualifications, Capabilities, and Skills: Bring experience with cloud platforms and containerization Apply familiarity with DevOps practices and CI/CD pipelines Utilize knowledge of front-end technologies and frameworks Demonstrate expertise in performance tuning and optimization Leverage experience with database technologies (SQL and NoSQL) Use understanding of distributed systems and scalability Apply experience in mentoring and developing engineering talent J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda. Drive innovation and lead impactful projects as you shape the future of technology with our collaborative engineering team.
26/07/2026
Full time
Join us and take your career to new heights as a Lead Java Software Engineer. You'll have the opportunity to influence major technology decisions and mentor talented engineers. We value your expertise and encourage you to push boundaries, solve complex challenges, and grow professionally. Our team thrives on collaboration, creativity, and continuous learning. Experience a supportive environment where your contributions matter. Job Summary: As a Lead Java Software Engineer in our Glasgow Technology Hub, you will guide the development of high-quality software solutions that power our business. You'll work closely with cross-functional teams to deliver scalable applications and drive best practices. Your leadership will help foster a culture of innovation and technical excellence. You will play a key role in shaping our technology roadmap and mentoring engineers as well as leveraging AI and machine learning to drive innovation and deliver smarter solutions. Together, we'll build solutions that make a difference. Job Responsibilities: Lead the design, development, and deployment of Java-based applications Collaborate with stakeholders to define technical requirements and project goals Mentor and support engineers, fostering growth and knowledge sharing Drive code quality, performance, and security standards across projects Implement best practices in software engineering and agile methodologies Troubleshoot and resolve complex technical issues Review code and provide constructive feedback to team members Coordinate with other teams to ensure seamless integration of systems Champion innovation and continuous improvement within the team Manage project timelines and deliverables to meet business objectives Communicate progress and challenges effectively to leadership Job Qualifications, Capabilities, and Skills: Demonstrate proficiency in Java and object-oriented programming Apply strong problem-solving and analytical skills Utilize experience with software architecture and design patterns Work effectively in agile development environments Communicate clearly and collaborate with diverse teams Lead and motivate others in a fast-paced setting Ensure code quality through testing and review processes Manage multiple priorities and adapt to changing requirements Uphold security and compliance standards in software development Use version control tools such as Git Apply knowledge of RESTful APIs and microservices Preferred Qualifications, Capabilities, and Skills: Bring experience with cloud platforms and containerization Apply familiarity with DevOps practices and CI/CD pipelines Utilize knowledge of front-end technologies and frameworks Demonstrate expertise in performance tuning and optimization Leverage experience with database technologies (SQL and NoSQL) Use understanding of distributed systems and scalability Apply experience in mentoring and developing engineering talent J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda. Drive innovation and lead impactful projects as you shape the future of technology with our collaborative engineering team.
We're looking for a Senior Data Platform Engineer to join our team on a 12-month fixed term contract, to play a pivotal role in shaping and operating our next-generation data platform. This is a fantastic opportunity to join our Microlise One Analytics & AI platform, where you'll help build a secure, scalable and governed data ecosystem that powers analytics, AI, and business critical insights across the organisation. You'll blend platform engineering, cloud DevOps, and data governance, ensuring our platform is not only high performing, but also compliant, reliable, and cost efficient. Be part of a high impact data and AI transformation programme, work on a modern, cloud native platform with real business impact, influence how data, analytics and AI are delivered across the organisation, and collaborate with cross functional engineering and data teams. What you'll be doing Designing, building and operating our AWS-based data platform using infrastructure as code Creating and managing CI/CD pipelines to enable safe, controlled deployments Supporting modern Lakehouse architecture, ingestion, processing and data serving layers Embedding security, governance and compliance controls across the platform Driving platform observability, monitoring, and performance optimisation Owning aspects of cost management (FinOps) and platform efficiency Collaborating with Data Engineers, Analytics & AI teams to deliver trusted data products What you'll bring Strong experience in platform engineering, cloud engineering or DevOps within data driven environments Hands on expertise in AWS, infrastructure as code and CI/CD pipelines Experience building secure, scalable cloud environments A solid understanding of data platforms, pipelines or analytics ecosystems A mindset focused on reliability, observability and continuous improvement Technical skills: AWS (compute, storage, IAM, networking) Terraform and/or AWS CDK CI/CD tooling and pipeline engineering Observability, monitoring and operational tooling SQL and strong systems thinking Experience in regulated or data sensitive environments Multi account or multi tenant cloud architecture exposure Why Microlise? When your groceries arrive at your door or you sign for your online parcel, one or more of our software, telematics or proof of purchase solutions has probably been used. Our solutions deliver value to many of the UK's leading grocery retailers and food logistics providers as well as to household names including JCB, Eddie Stobart, Carlsberg, Waitrose, and Royal Mail. Proudly Midlands based, Microlise has been operating for over thirty years, and recently became a Publicly Listed Company with shares trading on the London Stock Exchange. Our growing business is guided by our culture which drives the way we behave, the way we work, the way we connect with our customers, and the way we support and develop our people. We believe in developing our staff and support our employees with their professional development goals 37.5 hour week with flexible working opportunities Access to our salary sacrifice EV Car Scheme - payments are made before tax and other contributions, so saving you money, whilst doing your bit for the environment! Great Place to Work certified - We have been recognised by the global authority on workplace culture, so come be a part of our success! Private medical insurance with Vitality Health including rewards for members such as: Free Amazon Prime, Apple Watch, discounted gym membership and many more! 25 days holiday, excluding bank holidays, increasing with service Invested in employee health and well being with over 20 mental health first aiders in the business Employee Assistance Programmes Free Costco membership, 20% off EE mobile and line rental, and other local discounts Great staff extras: Easter eggs, yearly BBQ, Christmas gifts and annual staff awards Executive Box at Motorpoint Arena Nottingham Recruitment Process For successful candidates, interviews will take place whilst the advert is still live, via telephone and video conferencing; so don't delay getting your application in! Recruitment Agencies Whilst we make every effort to directly source candidates for our live roles, we do have a very small preferred supplier list on the occasion we may require additional support. We therefore do not accept speculative CVs and/or cold calls to our Recruitment Team or Hiring Managers. Any queries should be directed to in the first instance.
26/07/2026
Full time
We're looking for a Senior Data Platform Engineer to join our team on a 12-month fixed term contract, to play a pivotal role in shaping and operating our next-generation data platform. This is a fantastic opportunity to join our Microlise One Analytics & AI platform, where you'll help build a secure, scalable and governed data ecosystem that powers analytics, AI, and business critical insights across the organisation. You'll blend platform engineering, cloud DevOps, and data governance, ensuring our platform is not only high performing, but also compliant, reliable, and cost efficient. Be part of a high impact data and AI transformation programme, work on a modern, cloud native platform with real business impact, influence how data, analytics and AI are delivered across the organisation, and collaborate with cross functional engineering and data teams. What you'll be doing Designing, building and operating our AWS-based data platform using infrastructure as code Creating and managing CI/CD pipelines to enable safe, controlled deployments Supporting modern Lakehouse architecture, ingestion, processing and data serving layers Embedding security, governance and compliance controls across the platform Driving platform observability, monitoring, and performance optimisation Owning aspects of cost management (FinOps) and platform efficiency Collaborating with Data Engineers, Analytics & AI teams to deliver trusted data products What you'll bring Strong experience in platform engineering, cloud engineering or DevOps within data driven environments Hands on expertise in AWS, infrastructure as code and CI/CD pipelines Experience building secure, scalable cloud environments A solid understanding of data platforms, pipelines or analytics ecosystems A mindset focused on reliability, observability and continuous improvement Technical skills: AWS (compute, storage, IAM, networking) Terraform and/or AWS CDK CI/CD tooling and pipeline engineering Observability, monitoring and operational tooling SQL and strong systems thinking Experience in regulated or data sensitive environments Multi account or multi tenant cloud architecture exposure Why Microlise? When your groceries arrive at your door or you sign for your online parcel, one or more of our software, telematics or proof of purchase solutions has probably been used. Our solutions deliver value to many of the UK's leading grocery retailers and food logistics providers as well as to household names including JCB, Eddie Stobart, Carlsberg, Waitrose, and Royal Mail. Proudly Midlands based, Microlise has been operating for over thirty years, and recently became a Publicly Listed Company with shares trading on the London Stock Exchange. Our growing business is guided by our culture which drives the way we behave, the way we work, the way we connect with our customers, and the way we support and develop our people. We believe in developing our staff and support our employees with their professional development goals 37.5 hour week with flexible working opportunities Access to our salary sacrifice EV Car Scheme - payments are made before tax and other contributions, so saving you money, whilst doing your bit for the environment! Great Place to Work certified - We have been recognised by the global authority on workplace culture, so come be a part of our success! Private medical insurance with Vitality Health including rewards for members such as: Free Amazon Prime, Apple Watch, discounted gym membership and many more! 25 days holiday, excluding bank holidays, increasing with service Invested in employee health and well being with over 20 mental health first aiders in the business Employee Assistance Programmes Free Costco membership, 20% off EE mobile and line rental, and other local discounts Great staff extras: Easter eggs, yearly BBQ, Christmas gifts and annual staff awards Executive Box at Motorpoint Arena Nottingham Recruitment Process For successful candidates, interviews will take place whilst the advert is still live, via telephone and video conferencing; so don't delay getting your application in! Recruitment Agencies Whilst we make every effort to directly source candidates for our live roles, we do have a very small preferred supplier list on the occasion we may require additional support. We therefore do not accept speculative CVs and/or cold calls to our Recruitment Team or Hiring Managers. Any queries should be directed to in the first instance.
Build what's next in applied AI at JPMorganChase - where your work shapes how teams use intelligent systems at scale. You'll lead hands-on engineering for agentic and GenAI capabilities that power the LLM Suite platform. This role offers a mix of deep technical problem-solving, architecture ownership, and collaboration with talented builders. If you enjoy turning ambiguity into reliable production systems, you'll thrive here. Join a team that values craft, security, and learning. As an Applied AI ML Lead in LLM Suite Engineering, you will design and deliver production-grade AI/ML and agentic solutions that integrate seamlessly with existing systems. You will own technical direction across architecture, implementation, and operational stability, with a strong focus on secure, high-quality software. You will partner with peers across engineering to identify patterns and improve standards, reliability, and scalability. You will help evolve the platform using modern public cloud services and agentic frameworks. You will contribute to a collaborative culture through communities of practice and emerging-technology events. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities. Job Responsibilities Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges Write secure, high-quality production code and maintain algorithms that integrate with existing systems Create architecture and design artifacts for complex applications, ensuring design constraints are met through delivery Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock Identify hidden problems and patterns in data proactively to improve coding standards and system architecture Participate in software engineering communities of practice and events focused on emerging technologies Required Qualifications, Capabilities, and Skills Computer science degree or equivalent practical experience Hands-on experience with system design, application development, testing, and operational stability Proficiency in Python (FastAPI) Experience building microservices and APIs Experience with elastic compute, NoSQL databases, and messaging queues Strong understanding of the Software Development Life Cycle Solid grasp of CI/CD, application resiliency, and security Preferred Qualifications, Capabilities, and Skills Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock Proficiency working with large language models and building agents with LangGraph Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages Experience with containerization Knowledge of agent-to-agent (A2A) communication concepts Familiarity with Model Context Protocol (MCP) Experience with agentic orchestrators, personal AI assistants, or AI skills development J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda. Lead applied AI and engineering to build secure, scalable agentic solutions within our LLM suite.
26/07/2026
Full time
Build what's next in applied AI at JPMorganChase - where your work shapes how teams use intelligent systems at scale. You'll lead hands-on engineering for agentic and GenAI capabilities that power the LLM Suite platform. This role offers a mix of deep technical problem-solving, architecture ownership, and collaboration with talented builders. If you enjoy turning ambiguity into reliable production systems, you'll thrive here. Join a team that values craft, security, and learning. As an Applied AI ML Lead in LLM Suite Engineering, you will design and deliver production-grade AI/ML and agentic solutions that integrate seamlessly with existing systems. You will own technical direction across architecture, implementation, and operational stability, with a strong focus on secure, high-quality software. You will partner with peers across engineering to identify patterns and improve standards, reliability, and scalability. You will help evolve the platform using modern public cloud services and agentic frameworks. You will contribute to a collaborative culture through communities of practice and emerging-technology events. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities. Job Responsibilities Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges Write secure, high-quality production code and maintain algorithms that integrate with existing systems Create architecture and design artifacts for complex applications, ensuring design constraints are met through delivery Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock Identify hidden problems and patterns in data proactively to improve coding standards and system architecture Participate in software engineering communities of practice and events focused on emerging technologies Required Qualifications, Capabilities, and Skills Computer science degree or equivalent practical experience Hands-on experience with system design, application development, testing, and operational stability Proficiency in Python (FastAPI) Experience building microservices and APIs Experience with elastic compute, NoSQL databases, and messaging queues Strong understanding of the Software Development Life Cycle Solid grasp of CI/CD, application resiliency, and security Preferred Qualifications, Capabilities, and Skills Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock Proficiency working with large language models and building agents with LangGraph Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages Experience with containerization Knowledge of agent-to-agent (A2A) communication concepts Familiarity with Model Context Protocol (MCP) Experience with agentic orchestrators, personal AI assistants, or AI skills development J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda. Lead applied AI and engineering to build secure, scalable agentic solutions within our LLM suite.
