NCR Atleos in Dundee (Hybrid) is seeking an SW Engineer III - Data Analytics & Insights to design and deliver enterprise analytics using Power BI, Fabric, and Python. You will build scalable data models, automate data processing, and collaborate with engineering and business teams to surface actionable insights. The role requires 5+ years in data analytics/BI, strong SQL and GitHub skills, and experience with cloud data platforms. Hybrid work and a competitive salary apply.
27/07/2026
Full time
NCR Atleos in Dundee (Hybrid) is seeking an SW Engineer III - Data Analytics & Insights to design and deliver enterprise analytics using Power BI, Fabric, and Python. You will build scalable data models, automate data processing, and collaborate with engineering and business teams to surface actionable insights. The role requires 5+ years in data analytics/BI, strong SQL and GitHub skills, and experience with cloud data platforms. Hybrid work and a competitive salary apply.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the Commercial & Investment Bank, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. 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. Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience or equivalent expertise at troubleshooting, resolving, and maintaining Cucumber / Gherkin, Java, Selenium or a similar tool is required. Functional knowledge of Payments domain and experienced in testing processes in order to define requirements, document user stories and test scripts through to test execution. Experienced in using Business Driven Development / Test Driven Development test methodology or test case automation. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Expertise in Agile project delivery methodology and skills to learn and work with evolving methodologies Overall knowledge of the Software Development Life Cycle 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. Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Relevant testing experience within the Financial Services industry supporting multiple LOB's delivering in a highly complex, pressurized and high volume environment. Advanced numeracy and Microsoft skills. PowerPoint / Pitch Pro skills - able to create professional slides and structure presentations with minimal input and need for secondary review.
27/07/2026
Full time
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the Commercial & Investment Bank, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. 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. Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience or equivalent expertise at troubleshooting, resolving, and maintaining Cucumber / Gherkin, Java, Selenium or a similar tool is required. Functional knowledge of Payments domain and experienced in testing processes in order to define requirements, document user stories and test scripts through to test execution. Experienced in using Business Driven Development / Test Driven Development test methodology or test case automation. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Expertise in Agile project delivery methodology and skills to learn and work with evolving methodologies Overall knowledge of the Software Development Life Cycle 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. Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Relevant testing experience within the Financial Services industry supporting multiple LOB's delivering in a highly complex, pressurized and high volume environment. Advanced numeracy and Microsoft skills. PowerPoint / Pitch Pro skills - able to create professional slides and structure presentations with minimal input and need for secondary review.
JOB DESCRIPTION We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the Commercial & Investment Bank, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. 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. Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience or equivalent expertise at troubleshooting, resolving, and maintaining Cucumber / Gherkin, Java, Selenium or a similar tool is required. Functional knowledge of Payments domain and experienced in testing processes in order to define requirements, document user stories and test scripts through to test execution. Experienced in using Business Driven Development / Test Driven Development test methodology or test case automation. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Expertise in Agile project delivery methodology and skills to learn and work with evolving methodologies Overall knowledge of the Software Development Life Cycle 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. Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Relevant testing experience within the Financial Services industry supporting multiple LOB's delivering in a highly complex, pressurized and high volume environment. Advanced numeracy and Microsoft skills. PowerPoint / Pitch Pro skills - able to create professional slides and structure presentations with minimal input and need for secondary review. 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.
27/07/2026
Full time
JOB DESCRIPTION We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the Commercial & Investment Bank, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. 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. Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience or equivalent expertise at troubleshooting, resolving, and maintaining Cucumber / Gherkin, Java, Selenium or a similar tool is required. Functional knowledge of Payments domain and experienced in testing processes in order to define requirements, document user stories and test scripts through to test execution. Experienced in using Business Driven Development / Test Driven Development test methodology or test case automation. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Expertise in Agile project delivery methodology and skills to learn and work with evolving methodologies Overall knowledge of the Software Development Life Cycle 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. Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Relevant testing experience within the Financial Services industry supporting multiple LOB's delivering in a highly complex, pressurized and high volume environment. Advanced numeracy and Microsoft skills. PowerPoint / Pitch Pro skills - able to create professional slides and structure presentations with minimal input and need for secondary review. 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.
You're ready to gain the skills and experience needed to grow within your role and advance your career - and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorganChase within the IP, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. Job responsibilities Executes standard software solutions, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of at least one programming language with limited guidance Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages (Python) and database querying languages. Demonstrable ability to code in one or more languages Experience across the whole Software Development Life Cycle Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies
26/07/2026
Full time
You're ready to gain the skills and experience needed to grow within your role and advance your career - and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorganChase within the IP, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. Job responsibilities Executes standard software solutions, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of at least one programming language with limited guidance Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages (Python) and database querying languages. Demonstrable ability to code in one or more languages Experience across the whole Software Development Life Cycle Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the Enterprise Observability Platforms, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job Responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. 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. Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience Proficiency in React, JavaScript/TypeScript, including automated unit/integration testing Respect for clean coding and best practices Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages 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. Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Experience with UI testing frameworks (i.e. Cypress) Knowledge of UX Design (Figma)
26/07/2026
Full time
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the Enterprise Observability Platforms, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job Responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. 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. Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience Proficiency in React, JavaScript/TypeScript, including automated unit/integration testing Respect for clean coding and best practices Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages 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. Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Experience with UI testing frameworks (i.e. Cypress) Knowledge of UX Design (Figma)
JPMorgan Chase & Co. in City of London invites a Software Engineer III to join the Enterprise Observability Platforms. You will design and deliver trusted, scalable technology products in a secure environment as part of an agile team. The role emphasizes AI-assisted development, code quality, and automation within the SDLC, with responsibilities spanning architecture, data visualizations, and collaboration across teams.
26/07/2026
Full time
JPMorgan Chase & Co. in City of London invites a Software Engineer III to join the Enterprise Observability Platforms. You will design and deliver trusted, scalable technology products in a secure environment as part of an agile team. The role emphasizes AI-assisted development, code quality, and automation within the SDLC, with responsibilities spanning architecture, data visualizations, and collaboration across teams.
About Us Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry's first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics-all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential. Our Opportunity At Automation Anywhere, we are looking for a business-fluent, technically credible industry specialist to join our EMEA Industry Catalyst & Solution Engineering team. As Principal Solution Architect - Industry Specialist, you will operate at the intersection of deep BFSI expertise and enterprise-grade technical credibility, engaging C-suite and senior business leaders to translate agentic AI and intelligent automation capabilities into compelling, industry-specific business transformation narratives. This is a newly created hybrid role, bridging Solution Engineering and Industry Catalyst. Unlike a pure Catalyst role you carry direct deal accountability; unlike a standard SE role you operate at the business transformation layer. You will be the named BFSI & Finance Operations expert on major EMEA pursuits, owning vertical content, qualifying industry opportunities, and serving as a trusted advisor to both customers and the broader SE team. Location: United Kingdom (London) Who You'll Report To VP, Industry Catalyst & Solution Engineering - EMEA You Will Make an Impact By Being Responsible For Industry Sales Execution (60%) Lead industry-specific pre-sales motions on strategic EMEA accounts, partnering with Account Executives from qualification through commercial close. Own the business case, ROI model, and industry narrative for Banking, Financial Services, Insurance, and Finance Operations opportunities across EMEA and the Middle East. Design and deliver executive-level discovery workshops, translating business pain into agentic AI and intelligent automation solution roadmaps. Serve as the named BFSI industry expert on RFPs, RFIs, and strategic pursuits; lead responses to procurement and technical evaluation processes. Engage Global System Integrators on joint solution design for major BFSI accounts. Technical Architecture (25%) Shape high-level solution architectures covering APA, Agentic Process Automation, IDP, and Co-Pilot modalities for BFSI use cases including KYC, AML, financial close, AP/AR automation, and claims processing. Guide POC scoping and success criteria definition; support the SE team during technical validation phases on vertically relevant opportunities. Maintain working knowledge of APA platform internals, integration patterns (SAP, Salesforce, ServiceNow), and cloud deployment models. Bridge technical depth of the SE team to the strategic perspective of the Catalyst team, amplifying both. Industry Content & Enablement (15%) / Thought Leadership & Eminence Build and maintain BFSI and Finance Operations vertical playbooks covering use case libraries, competitive positioning, and objection handling. Deliver internal enablement sessions to upskill the EMEA SE team on industry dynamics, regulatory landscape, and BFSI buyer language. Contribute to EMEA Industry Pack development alongside Industry Catalyst colleagues; represent Automation Anywhere at relevant industry events and analyst briefings. Publish point-of-view content on agentic AI and intelligent automation trends in BFSI and Finance Operations via LinkedIn and internal platforms. Develop executive briefing materials and CXO conversation frameworks for use by the broader EMEA SE team. Build and maintain a network of industry practitioners, GSI contacts, and ecosystem partners in the BFSI vertical. You Will Be a Great Fit If You Have 10+ years of experience in BFSI, Insurance, or Finance Operations, combining a practitioner phase (banking, financial analysis, insurance operations, or FinTech) with a consulting or technology sales phase. Deep industry knowledge across Banking & Capital Markets, Financial Services, and/or Insurance - you speak the buyer's language as a practitioner, not just from a slide deck. Demonstrable ability to lead enterprise architecture conversations, whiteboard solution designs, and scope POCs involving RPA, AI Agents, LLM integration, and enterprise platform integrations (SAP, Salesforce, ServiceNow). Working knowledge of agentic process automation concepts - agent orchestration, human-in-the-loop workflows, document intelligence, and co-pilot patterns. Experience with Automation Anywhere, UiPath, or ServiceNow a strong asset. Proven track record of operating at CXO and SVP level - conducting discovery, presenting business cases, and influencing procurement decisions in complex, multi-stakeholder enterprise sales cycles. Strong commercial acumen: ability to build ROI models, frame value propositions in CFO language, and navigate complex buying committees. Experience with deal values of £250K-£2M ARR preferred. Exceptional written and verbal communication skills; comfortable independently creating polished industry narratives, executive decks, and ROI models - not a slide assembly role. Bachelor's degree in Business, Finance, Technology, or a related field. Advanced degree or professional certifications (CFA, FRM, ACCA, MBA) a strong plus. Preferred Qualifications Prior experience in a pre-sales, solution consulting, or industry advisory role at an enterprise software or consulting firm (Big 4, Tier 1 SI, or SaaS vendor). Hands-on experience with Automation Anywhere A360 / APA, or a directly comparable intelligent automation platform. Familiarity with BFSI regulatory frameworks (Basel III/IV, Solvency II, GDPR, DORA, PSD2) and their operational automation implications. Experience building or contributing to industry vertical content libraries, competitive battle cards, or GTM playbooks. Active LinkedIn presence and existing network in the BFSI community; history of industry event speaking, publication, or analyst engagement. Ready to Revolutionize Work? This is an opportunity to work with a global, passionate team pioneering technology that's redefining the way people work, everywhere. Join us and discover the many ways that you can have an impact, achieve your potential, and go be great. Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry's first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics-all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential.
26/07/2026
Full time
About Us Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry's first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics-all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential. Our Opportunity At Automation Anywhere, we are looking for a business-fluent, technically credible industry specialist to join our EMEA Industry Catalyst & Solution Engineering team. As Principal Solution Architect - Industry Specialist, you will operate at the intersection of deep BFSI expertise and enterprise-grade technical credibility, engaging C-suite and senior business leaders to translate agentic AI and intelligent automation capabilities into compelling, industry-specific business transformation narratives. This is a newly created hybrid role, bridging Solution Engineering and Industry Catalyst. Unlike a pure Catalyst role you carry direct deal accountability; unlike a standard SE role you operate at the business transformation layer. You will be the named BFSI & Finance Operations expert on major EMEA pursuits, owning vertical content, qualifying industry opportunities, and serving as a trusted advisor to both customers and the broader SE team. Location: United Kingdom (London) Who You'll Report To VP, Industry Catalyst & Solution Engineering - EMEA You Will Make an Impact By Being Responsible For Industry Sales Execution (60%) Lead industry-specific pre-sales motions on strategic EMEA accounts, partnering with Account Executives from qualification through commercial close. Own the business case, ROI model, and industry narrative for Banking, Financial Services, Insurance, and Finance Operations opportunities across EMEA and the Middle East. Design and deliver executive-level discovery workshops, translating business pain into agentic AI and intelligent automation solution roadmaps. Serve as the named BFSI industry expert on RFPs, RFIs, and strategic pursuits; lead responses to procurement and technical evaluation processes. Engage Global System Integrators on joint solution design for major BFSI accounts. Technical Architecture (25%) Shape high-level solution architectures covering APA, Agentic Process Automation, IDP, and Co-Pilot modalities for BFSI use cases including KYC, AML, financial close, AP/AR automation, and claims processing. Guide POC scoping and success criteria definition; support the SE team during technical validation phases on vertically relevant opportunities. Maintain working knowledge of APA platform internals, integration patterns (SAP, Salesforce, ServiceNow), and cloud deployment models. Bridge technical depth of the SE team to the strategic perspective of the Catalyst team, amplifying both. Industry Content & Enablement (15%) / Thought Leadership & Eminence Build and maintain BFSI and Finance Operations vertical playbooks covering use case libraries, competitive positioning, and objection handling. Deliver internal enablement sessions to upskill the EMEA SE team on industry dynamics, regulatory landscape, and BFSI buyer language. Contribute to EMEA Industry Pack development alongside Industry Catalyst colleagues; represent Automation Anywhere at relevant industry events and analyst briefings. Publish point-of-view content on agentic AI and intelligent automation trends in BFSI and Finance Operations via LinkedIn and internal platforms. Develop executive briefing materials and CXO conversation frameworks for use by the broader EMEA SE team. Build and maintain a network of industry practitioners, GSI contacts, and ecosystem partners in the BFSI vertical. You Will Be a Great Fit If You Have 10+ years of experience in BFSI, Insurance, or Finance Operations, combining a practitioner phase (banking, financial analysis, insurance operations, or FinTech) with a consulting or technology sales phase. Deep industry knowledge across Banking & Capital Markets, Financial Services, and/or Insurance - you speak the buyer's language as a practitioner, not just from a slide deck. Demonstrable ability to lead enterprise architecture conversations, whiteboard solution designs, and scope POCs involving RPA, AI Agents, LLM integration, and enterprise platform integrations (SAP, Salesforce, ServiceNow). Working knowledge of agentic process automation concepts - agent orchestration, human-in-the-loop workflows, document intelligence, and co-pilot patterns. Experience with Automation Anywhere, UiPath, or ServiceNow a strong asset. Proven track record of operating at CXO and SVP level - conducting discovery, presenting business cases, and influencing procurement decisions in complex, multi-stakeholder enterprise sales cycles. Strong commercial acumen: ability to build ROI models, frame value propositions in CFO language, and navigate complex buying committees. Experience with deal values of £250K-£2M ARR preferred. Exceptional written and verbal communication skills; comfortable independently creating polished industry narratives, executive decks, and ROI models - not a slide assembly role. Bachelor's degree in Business, Finance, Technology, or a related field. Advanced degree or professional certifications (CFA, FRM, ACCA, MBA) a strong plus. Preferred Qualifications Prior experience in a pre-sales, solution consulting, or industry advisory role at an enterprise software or consulting firm (Big 4, Tier 1 SI, or SaaS vendor). Hands-on experience with Automation Anywhere A360 / APA, or a directly comparable intelligent automation platform. Familiarity with BFSI regulatory frameworks (Basel III/IV, Solvency II, GDPR, DORA, PSD2) and their operational automation implications. Experience building or contributing to industry vertical content libraries, competitive battle cards, or GTM playbooks. Active LinkedIn presence and existing network in the BFSI community; history of industry event speaking, publication, or analyst engagement. Ready to Revolutionize Work? This is an opportunity to work with a global, passionate team pioneering technology that's redefining the way people work, everywhere. Join us and discover the many ways that you can have an impact, achieve your potential, and go be great. Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry's first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics-all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential.
CMETS CME Technology and Support Services Ltd.
City, Belfast
Site Reliability Engineer III (Tue - Sat) CME Group is seeking a Site Reliability Engineer III to take a key role in building, operating, and scaling systems in our Markets portfolio. As an SRE III, you will apply your experience to the complex challenges of the CME Globex trading platform, where our systems deliver an exceptional combination of low latency performance and rock solid reliability. You will work with senior engineers on complex projects, take ownership of key reliability initiatives, and mentor junior colleagues, shaping the team's technical direction. Key Responsibilities Own Observability: design, build, and refine monitoring, alerting, and observability solutions; drive continuous improvement of SLIs and SLOs to enable faster issue detection and resolution. Drive Reliability Projects: take ownership of reliability focused projects from design to implementation, collaborating with product teams to ensure new features are scalable, resilient, and safe. Lead Technical Solutions: lead technical discussions for your work, presenting solution options and proposals with clear trade offs. Automate Intelligently: proactively identify and eliminate toil through robust automation, improving both system reliability and team velocity. Manage Incidents: lead incident response, own resolution of significant incidents, ensure rapid system recovery, and drive meaningful action from blameless post mortems. Mentor & Coach: act as a technical mentor and point of escalation for L1 and L2 SREs, fostering their growth through code reviews and paired work. Architect for the Future: contribute ideas to the product backlog and play an active role in the architectural design for the migration to Google Cloud Platform. What We're Looking For 3-5+ years of professional experience in a Site Reliability, DevOps, Software, or Systems Engineering role. Strong, hands on experience administering and troubleshooting Linux based production systems. Proficient programming skills in a language like Python or Go, with a track record of automating complex operational tasks. Proven ability to lead technical initiatives and solve complex problems with a high degree of autonomy. Excellent communication skills, with the ability to articulate complex technical concepts to diverse audiences. A proactive and ownership oriented mindset. Desirable Skills Cloud Platforms: deep experience with Google Cloud Platform, especially GCE, GKE, and cloud networking. Monitoring Tools: expertise in designing and managing monitoring stacks such as Prometheus, Grafana, and OpenTelemetry. Distributed Systems: strong practical knowledge of building and maintaining large scale distributed systems. Containerisation: advanced experience with Kubernetes and Docker in a production environment. Networking: solid understanding of networking protocols (HTTP, TCP/UDP, IP) and network architecture. Domain Knowledge: experience in financial markets, low latency systems, or message oriented middleware. Company Benefits Bonus Programme Generous shift allowance Equity Programme Employee Stock Purchase Plan (ESPP) Private Medical and Dental coverage Mental Health Benefit Programme Group Pension Plan Income Protection Life Assurance Cycle to Work EV Car Benefit Scheme Gym Membership Family Leave Education Assistance - MBA/Advanced Degree/Bachelor Degree Ongoing Employee Development Hybrid Working Equal Opportunity Employer As an equal opportunity employer, we consider all potential employees without regard to any protected characteristic.
26/07/2026
Full time
Site Reliability Engineer III (Tue - Sat) CME Group is seeking a Site Reliability Engineer III to take a key role in building, operating, and scaling systems in our Markets portfolio. As an SRE III, you will apply your experience to the complex challenges of the CME Globex trading platform, where our systems deliver an exceptional combination of low latency performance and rock solid reliability. You will work with senior engineers on complex projects, take ownership of key reliability initiatives, and mentor junior colleagues, shaping the team's technical direction. Key Responsibilities Own Observability: design, build, and refine monitoring, alerting, and observability solutions; drive continuous improvement of SLIs and SLOs to enable faster issue detection and resolution. Drive Reliability Projects: take ownership of reliability focused projects from design to implementation, collaborating with product teams to ensure new features are scalable, resilient, and safe. Lead Technical Solutions: lead technical discussions for your work, presenting solution options and proposals with clear trade offs. Automate Intelligently: proactively identify and eliminate toil through robust automation, improving both system reliability and team velocity. Manage Incidents: lead incident response, own resolution of significant incidents, ensure rapid system recovery, and drive meaningful action from blameless post mortems. Mentor & Coach: act as a technical mentor and point of escalation for L1 and L2 SREs, fostering their growth through code reviews and paired work. Architect for the Future: contribute ideas to the product backlog and play an active role in the architectural design for the migration to Google Cloud Platform. What We're Looking For 3-5+ years of professional experience in a Site Reliability, DevOps, Software, or Systems Engineering role. Strong, hands on experience administering and troubleshooting Linux based production systems. Proficient programming skills in a language like Python or Go, with a track record of automating complex operational tasks. Proven ability to lead technical initiatives and solve complex problems with a high degree of autonomy. Excellent communication skills, with the ability to articulate complex technical concepts to diverse audiences. A proactive and ownership oriented mindset. Desirable Skills Cloud Platforms: deep experience with Google Cloud Platform, especially GCE, GKE, and cloud networking. Monitoring Tools: expertise in designing and managing monitoring stacks such as Prometheus, Grafana, and OpenTelemetry. Distributed Systems: strong practical knowledge of building and maintaining large scale distributed systems. Containerisation: advanced experience with Kubernetes and Docker in a production environment. Networking: solid understanding of networking protocols (HTTP, TCP/UDP, IP) and network architecture. Domain Knowledge: experience in financial markets, low latency systems, or message oriented middleware. Company Benefits Bonus Programme Generous shift allowance Equity Programme Employee Stock Purchase Plan (ESPP) Private Medical and Dental coverage Mental Health Benefit Programme Group Pension Plan Income Protection Life Assurance Cycle to Work EV Car Benefit Scheme Gym Membership Family Leave Education Assistance - MBA/Advanced Degree/Bachelor Degree Ongoing Employee Development Hybrid Working Equal Opportunity Employer As an equal opportunity employer, we consider all potential employees without regard to any protected characteristic.
Intelligent. Dynamic. Resilient.Everfox, formerly Forcepoint Federal, has been defending the world's most critical data and networks against the most complex cyber threats imaginable for more than 25 years. As trailblazers in defense-grade, high assurance cyber security, we have been leading the way in developing and delivering innovative cyber security technology. We protect data wherever it resides. Our unwavering dedication and commitment to our customers and the critical missions they serve are what set us apart. We are dynamic, vigilant, and proactive in everything we do. Our suite of cross domain, threat protection and insider risk solutions empower governments and enterprise organizations to use data safely - where and however their people need it. At Everfox, we innovate, we invest, we achieve. We protect what matters most to our customers. And we offer protection like no other. We do all of this so our customers can focus on what matters most their mission.About the role:You're a hands-on engineer who's comfortable being handed a problem and running with it. You've delivered complex PCB designs before - not just contributed to them - and you know the difference between a design that works on the bench and one that survives production and the field.You'll own the full design lifecycle for sophisticated electronic hardware - from requirements through to production - working largely independently and making real technical decisions that shape the products we ship.Key Responsibilities:Designing hardware that has to work:PCBs featuring high-speed digital, FPGA platforms, switch-mode power, and mixed-signal circuitry, laid out in Altium to production-ready standardSolving hard problemsIndependently diagnosing issues using structured root-cause analysis and the full range of lab equipment, from oscilloscopes to spectrum analyzersThinking at system levelUnderstanding how your design choices ripple through EMC behavior, thermal performance, firmware integration, and long-term reliabilityTaking it all the wayFrom compliance and certification through to manufacturing handover, you own the outcomeWorking with top talentCollaborating directly with firmware, systems, and mechanical engineers to make sure the full product hangs togetherRaising the barSupporting and mentoring junior engineers, contributing to design reviews, and actively improving how the team worksThis is not a role where you execute someone else's design decisions. You'll be the person making them.Key Education Requirements:A master's degree in electronic engineering or similarKey Knowledge and Skills:A proven track record of independently delivering multi-layer PCB designs (high-speed digital, power, mixed-signal)- Solid experience with Altium Designer - schematic capture through to layoutConfidence diagnosing hardware with real lab equipment and structured fault-finding techniquesExperience taking designs through the full lifecycle, including HW/FW integration and manufacturing transitionThe judgement to make well-reasoned trade-off decisions and explain your rationale clearlyBonus points for:Python or C scripting for test automation or data analysisFPGA development experience (VHDL)Familiarity with EMC compliance standards or reliability methods (FMEA, derating)A reasonable estimate of the base salary range for this role is:£56,000.00-64,800.00 GBPThe actual salary offered may vary within the range based on a candidates' unique experience, locale, and business needs. In addition to a base salary and bonus plans, Everfox offers a generous benefits package including flexible PTO, a 401k match, and contribution to healthcare coverages. Our talent acquisition team will provide specific information regarding bonus eligibility and benefits offerings. Don't meet every single qualification? Studies show people are hesitant to apply if they don't meet all requirements listed in a job posting. If there is something slightly different about your previous experience, but it otherwise aligns and you're excited about this role, we encourage you to apply. You could be a great candidate for this or other roles on our team.Everfox is an equal employment opportunity employer and complies with all applicable federal, state, and local laws prohibiting discrimination. Everfox does not discriminate against any employee or applicant based on race, color, religion, sex, age, national origin, disability, veteran status, marital status, medical condition, or any other category protected by applicable law. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by sending an email to is a Federal Contractor. Certain positions with Everfox require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.Applicants must have the right to work in the location to which you have applied.
25/07/2026
Full time
Intelligent. Dynamic. Resilient.Everfox, formerly Forcepoint Federal, has been defending the world's most critical data and networks against the most complex cyber threats imaginable for more than 25 years. As trailblazers in defense-grade, high assurance cyber security, we have been leading the way in developing and delivering innovative cyber security technology. We protect data wherever it resides. Our unwavering dedication and commitment to our customers and the critical missions they serve are what set us apart. We are dynamic, vigilant, and proactive in everything we do. Our suite of cross domain, threat protection and insider risk solutions empower governments and enterprise organizations to use data safely - where and however their people need it. At Everfox, we innovate, we invest, we achieve. We protect what matters most to our customers. And we offer protection like no other. We do all of this so our customers can focus on what matters most their mission.About the role:You're a hands-on engineer who's comfortable being handed a problem and running with it. You've delivered complex PCB designs before - not just contributed to them - and you know the difference between a design that works on the bench and one that survives production and the field.You'll own the full design lifecycle for sophisticated electronic hardware - from requirements through to production - working largely independently and making real technical decisions that shape the products we ship.Key Responsibilities:Designing hardware that has to work:PCBs featuring high-speed digital, FPGA platforms, switch-mode power, and mixed-signal circuitry, laid out in Altium to production-ready standardSolving hard problemsIndependently diagnosing issues using structured root-cause analysis and the full range of lab equipment, from oscilloscopes to spectrum analyzersThinking at system levelUnderstanding how your design choices ripple through EMC behavior, thermal performance, firmware integration, and long-term reliabilityTaking it all the wayFrom compliance and certification through to manufacturing handover, you own the outcomeWorking with top talentCollaborating directly with firmware, systems, and mechanical engineers to make sure the full product hangs togetherRaising the barSupporting and mentoring junior engineers, contributing to design reviews, and actively improving how the team worksThis is not a role where you execute someone else's design decisions. You'll be the person making them.Key Education Requirements:A master's degree in electronic engineering or similarKey Knowledge and Skills:A proven track record of independently delivering multi-layer PCB designs (high-speed digital, power, mixed-signal)- Solid experience with Altium Designer - schematic capture through to layoutConfidence diagnosing hardware with real lab equipment and structured fault-finding techniquesExperience taking designs through the full lifecycle, including HW/FW integration and manufacturing transitionThe judgement to make well-reasoned trade-off decisions and explain your rationale clearlyBonus points for:Python or C scripting for test automation or data analysisFPGA development experience (VHDL)Familiarity with EMC compliance standards or reliability methods (FMEA, derating)A reasonable estimate of the base salary range for this role is:£56,000.00-64,800.00 GBPThe actual salary offered may vary within the range based on a candidates' unique experience, locale, and business needs. In addition to a base salary and bonus plans, Everfox offers a generous benefits package including flexible PTO, a 401k match, and contribution to healthcare coverages. Our talent acquisition team will provide specific information regarding bonus eligibility and benefits offerings. Don't meet every single qualification? Studies show people are hesitant to apply if they don't meet all requirements listed in a job posting. If there is something slightly different about your previous experience, but it otherwise aligns and you're excited about this role, we encourage you to apply. You could be a great candidate for this or other roles on our team.Everfox is an equal employment opportunity employer and complies with all applicable federal, state, and local laws prohibiting discrimination. Everfox does not discriminate against any employee or applicant based on race, color, religion, sex, age, national origin, disability, veteran status, marital status, medical condition, or any other category protected by applicable law. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by sending an email to is a Federal Contractor. Certain positions with Everfox require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.Applicants must have the right to work in the location to which you have applied.
Are you passionate about building reliable systems and solving complex technical challenges? Do you enjoy collaborating across teams to improve system performance, automate processes, and deliver operational excellence? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (). About the Role We are looking for a Systems Engineer to support enterprise systems through research, design, systems engineering, operational support, and change management activities. In this role, you will help maintain system stability, troubleshoot complex technical issues, support automation initiatives, and work closely with development, support, and vendor teams to deliver reliable technology solutions. Responsibilities Diagnose and troubleshoot system, application, and performance issues across multiple environments. Configure controls, install programs, and resolve technical issues within enterprise system environments. Create and maintain scripts to support workload processing and automation of common tasks. Monitor systems, respond to alerts, and provide prompt recovery and escalation for operational exceptions. Collaborate with development teams, support groups, and vendors to coordinate activities and resolve issues. Support system monitoring, reporting improvements, and problem recovery efforts. Manage and support change implementation, service requests, and operational processes. Create, execute, document, and close tasks, changes, and requests in accordance with team standards. Requirements Experience in systems engineering and operational support environments. Understanding of storage systems, Linux kernel, UNIX kernel, UNIX file systems, and Windows infrastructure. Knowledge of program installation and troubleshooting. Familiarity with virtual server environments and thin client technologies. Knowledge of scripting and automation techniques. Understanding of system management and problem management tools. Strong problem-solving skills. Good written and verbal communication skills. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. EEO Know Your Rights.
25/07/2026
Full time
Are you passionate about building reliable systems and solving complex technical challenges? Do you enjoy collaborating across teams to improve system performance, automate processes, and deliver operational excellence? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (). About the Role We are looking for a Systems Engineer to support enterprise systems through research, design, systems engineering, operational support, and change management activities. In this role, you will help maintain system stability, troubleshoot complex technical issues, support automation initiatives, and work closely with development, support, and vendor teams to deliver reliable technology solutions. Responsibilities Diagnose and troubleshoot system, application, and performance issues across multiple environments. Configure controls, install programs, and resolve technical issues within enterprise system environments. Create and maintain scripts to support workload processing and automation of common tasks. Monitor systems, respond to alerts, and provide prompt recovery and escalation for operational exceptions. Collaborate with development teams, support groups, and vendors to coordinate activities and resolve issues. Support system monitoring, reporting improvements, and problem recovery efforts. Manage and support change implementation, service requests, and operational processes. Create, execute, document, and close tasks, changes, and requests in accordance with team standards. Requirements Experience in systems engineering and operational support environments. Understanding of storage systems, Linux kernel, UNIX kernel, UNIX file systems, and Windows infrastructure. Knowledge of program installation and troubleshooting. Familiarity with virtual server environments and thin client technologies. Knowledge of scripting and automation techniques. Understanding of system management and problem management tools. Strong problem-solving skills. Good written and verbal communication skills. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. EEO Know Your Rights.
Systems Engineer IIIApplylocations: Farringdontime type: Full timeposted on: Posted Todayjob requisition id: R115706 Are you passionate about building reliable systems and solving complex technical challenges? Do you enjoy collaborating across teams to improve system performance, automate processes, and deliver operational excellence? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (). About the Role We are looking for a Systems Engineer to support enterprise systems through research, design, systems engineering, operational support, and change management activities. In this role, you will help maintain system stability, troubleshoot complex technical issues, support automation initiatives, and work closely with development, support, and vendor teams to deliver reliable technology solutions. Responsibilities Diagnose and troubleshoot system, application, and performance issues across multiple environments. Configure controls, install programs, and resolve technical issues within enterprise system environments. Create and maintain scripts to support workload processing and automation of common tasks. Monitor systems, respond to alerts, and provide prompt recovery and escalation for operational exceptions. Collaborate with development teams, support groups, and vendors to coordinate activities and resolve issues. Support system monitoring, reporting improvements, and problem recovery efforts. Manage and support change implementation, service requests, and operational processes. Create, execute, document, and close tasks, changes, and requests in accordance with team standards. Requirements Experience in systems engineering and operational support environments. Understanding of storage systems, Linux kernel, UNIX kernel, UNIX file systems, and Windows infrastructure. Knowledge of program installation and troubleshooting. Familiarity with virtual server environments and thin client technologies. Knowledge of scripting and automation techniques. Understanding of system management and problem management tools. Strong problem-solving skills. Good written and verbal communication skills. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
25/07/2026
Full time
Systems Engineer IIIApplylocations: Farringdontime type: Full timeposted on: Posted Todayjob requisition id: R115706 Are you passionate about building reliable systems and solving complex technical challenges? Do you enjoy collaborating across teams to improve system performance, automate processes, and deliver operational excellence? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (). About the Role We are looking for a Systems Engineer to support enterprise systems through research, design, systems engineering, operational support, and change management activities. In this role, you will help maintain system stability, troubleshoot complex technical issues, support automation initiatives, and work closely with development, support, and vendor teams to deliver reliable technology solutions. Responsibilities Diagnose and troubleshoot system, application, and performance issues across multiple environments. Configure controls, install programs, and resolve technical issues within enterprise system environments. Create and maintain scripts to support workload processing and automation of common tasks. Monitor systems, respond to alerts, and provide prompt recovery and escalation for operational exceptions. Collaborate with development teams, support groups, and vendors to coordinate activities and resolve issues. Support system monitoring, reporting improvements, and problem recovery efforts. Manage and support change implementation, service requests, and operational processes. Create, execute, document, and close tasks, changes, and requests in accordance with team standards. Requirements Experience in systems engineering and operational support environments. Understanding of storage systems, Linux kernel, UNIX kernel, UNIX file systems, and Windows infrastructure. Knowledge of program installation and troubleshooting. Familiarity with virtual server environments and thin client technologies. Knowledge of scripting and automation techniques. Understanding of system management and problem management tools. Strong problem-solving skills. Good written and verbal communication skills. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Kraken Digital Asset Exchange
Manchester, Lancashire
Help us use technology to make a big green dent in the universe! Kraken powers some of the most innovative global developments in energy. We're a technology company focused on creating a smart, sustainable energy system. From optimising renewable generation, creating a more intelligent grid, and enabling utilities to provide excellent customer experiences, our operating system for energy is transforming the industry around the world in a way that benefits everyone. It's a really exciting time in energy. Help us make a real impact on shaping a better, more sustainable future. What is TechOps? TechOps at Kraken is a modern, lean evolution of traditional enterprise IT. We span everything from hands on frontline support through to high impact technical projects and long term strategic improvements. We are building a small, highly effective TechOps team and are looking for an ambitious, experienced TechOps Generalist to help us scale Kraken safely, securely, and with a strong focus on people. This is a broad role with a huge amount of variety. You'll work across identity, devices, SaaS, networking, automation, and office infrastructure - often at the same time. Ambiguity is a constant, and we're looking for someone who enjoys making sense of it and turning it into action. We operate almost entirely in the cloud, so you'll be exposed to a wide range of modern tools and technologies across the business. About the role: As a TechOps Generalist, you'll be a core contributor to the day to day delivery of TechOps services, working closely with the TechOps Lead and the wider global TechOps team. This is a role with real ownership. You'll be trusted to take responsibility for problems and projects end to end, contribute to technical decision making, and help shape how TechOps operates as we grow. We strongly believe that great TechOps starts with empathy. You'll spend a significant portion of your time supporting Kraken employees directly, seeing first hand the problems they face and helping ensure technology enables rather than blocks great work. We prioritise friendly, human support over SLAs or ticket numbers. Our aim is to deliver such a good experience that technology fades into the background, and when support is needed, it's easy, human, and effective. What you'll do: Provide hands on 1st, 2nd, and 3rd line support across the business Own and deliver TechOps work across identity, devices, SaaS, networking, and office infrastructure Work closely with the TechOps Lead to balance reactive support with proactive, planned improvements Contribute to technical projects that improve security, reliability, and scalability Design, improve, and automate systems and processes to reduce manual effort and operational risk Collaborate closely with Security, Engineering, and other teams to balance security, productivity, and user experience Support our offices across the globe Identify recurring problems and help build long term solutions rather than short term workarounds Example TechOps projects include: macOS and Windows MDM improvements and migrations Identity provider and SSO improvements Device trust and posture compliance solutions Replacing insecure authentication factors with phishing resistant alternatives Office networking, AV, and access control improvements SaaS migrations and integrations What you'll have: Must have Strong hands on experience in an IT, TechOps, or systems focused role Deep knowledge of Windows and macOS, with confident troubleshooting skills Hands on experience providing 1st, 2nd, and 3rd line support Comfort operating in highly ambiguous environments and managing competing priorities A strong technical foundation across identity, MDM, SaaS, and networking Ability to communicate clearly with both technical and non technical stakeholders A people first mindset and a conscientious approach to decision making Should have Experience supporting macOS, Windows, iOS, and Android environments Experience with Identity & Access Management platforms (e.g. Okta, Google Workspace, Microsoft Entra) Understanding of SSO technologies such as OAuth, SAML, and SCIM Enjoyment of scripting, APIs, and automating repetitive or error prone tasks Experience working across time zones or with distributed teams Nice to have A foundational understanding of programming or software engineering Familiarity with security tooling such as CrowdStrike, Kolide, osquery, or Zscaler Experience with office networking (we use Cisco Meraki) Exposure to cloud platforms such as AWS Don't think you check off all of the above? We love hiring passionate people with a drive to learn so get in touch and let us know which areas you don't currently have confidence and/or experience with, we'd love to hear from you! Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. If you have any specific accommodations or a unique preference, please contact us at and we'll do what we can to customise your interview process for comfort and maximum magic! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Kraken, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status. U.S. based candidates can learn more about their EEO rights here. Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice, (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you've read, understood and consent to these terms We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
25/07/2026
Full time
Help us use technology to make a big green dent in the universe! Kraken powers some of the most innovative global developments in energy. We're a technology company focused on creating a smart, sustainable energy system. From optimising renewable generation, creating a more intelligent grid, and enabling utilities to provide excellent customer experiences, our operating system for energy is transforming the industry around the world in a way that benefits everyone. It's a really exciting time in energy. Help us make a real impact on shaping a better, more sustainable future. What is TechOps? TechOps at Kraken is a modern, lean evolution of traditional enterprise IT. We span everything from hands on frontline support through to high impact technical projects and long term strategic improvements. We are building a small, highly effective TechOps team and are looking for an ambitious, experienced TechOps Generalist to help us scale Kraken safely, securely, and with a strong focus on people. This is a broad role with a huge amount of variety. You'll work across identity, devices, SaaS, networking, automation, and office infrastructure - often at the same time. Ambiguity is a constant, and we're looking for someone who enjoys making sense of it and turning it into action. We operate almost entirely in the cloud, so you'll be exposed to a wide range of modern tools and technologies across the business. About the role: As a TechOps Generalist, you'll be a core contributor to the day to day delivery of TechOps services, working closely with the TechOps Lead and the wider global TechOps team. This is a role with real ownership. You'll be trusted to take responsibility for problems and projects end to end, contribute to technical decision making, and help shape how TechOps operates as we grow. We strongly believe that great TechOps starts with empathy. You'll spend a significant portion of your time supporting Kraken employees directly, seeing first hand the problems they face and helping ensure technology enables rather than blocks great work. We prioritise friendly, human support over SLAs or ticket numbers. Our aim is to deliver such a good experience that technology fades into the background, and when support is needed, it's easy, human, and effective. What you'll do: Provide hands on 1st, 2nd, and 3rd line support across the business Own and deliver TechOps work across identity, devices, SaaS, networking, and office infrastructure Work closely with the TechOps Lead to balance reactive support with proactive, planned improvements Contribute to technical projects that improve security, reliability, and scalability Design, improve, and automate systems and processes to reduce manual effort and operational risk Collaborate closely with Security, Engineering, and other teams to balance security, productivity, and user experience Support our offices across the globe Identify recurring problems and help build long term solutions rather than short term workarounds Example TechOps projects include: macOS and Windows MDM improvements and migrations Identity provider and SSO improvements Device trust and posture compliance solutions Replacing insecure authentication factors with phishing resistant alternatives Office networking, AV, and access control improvements SaaS migrations and integrations What you'll have: Must have Strong hands on experience in an IT, TechOps, or systems focused role Deep knowledge of Windows and macOS, with confident troubleshooting skills Hands on experience providing 1st, 2nd, and 3rd line support Comfort operating in highly ambiguous environments and managing competing priorities A strong technical foundation across identity, MDM, SaaS, and networking Ability to communicate clearly with both technical and non technical stakeholders A people first mindset and a conscientious approach to decision making Should have Experience supporting macOS, Windows, iOS, and Android environments Experience with Identity & Access Management platforms (e.g. Okta, Google Workspace, Microsoft Entra) Understanding of SSO technologies such as OAuth, SAML, and SCIM Enjoyment of scripting, APIs, and automating repetitive or error prone tasks Experience working across time zones or with distributed teams Nice to have A foundational understanding of programming or software engineering Familiarity with security tooling such as CrowdStrike, Kolide, osquery, or Zscaler Experience with office networking (we use Cisco Meraki) Exposure to cloud platforms such as AWS Don't think you check off all of the above? We love hiring passionate people with a drive to learn so get in touch and let us know which areas you don't currently have confidence and/or experience with, we'd love to hear from you! Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. If you have any specific accommodations or a unique preference, please contact us at and we'll do what we can to customise your interview process for comfort and maximum magic! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Kraken, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status. U.S. based candidates can learn more about their EEO rights here. Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice, (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you've read, understood and consent to these terms We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Are you ready to make a real impact with your software engineering skills? At JPMorganChase, you'll collaborate with a diverse, agile team to deliver trusted, market-leading technology products. You'll have the opportunity to grow your career, work with cutting-edge tools, and help shape the future of digital document services. We value your expertise and encourage you to push the boundaries of what's possible. Join us and be part of a culture that celebrates innovation, inclusion, and continuous learning. As a Software Engineer III at JPMorganChase within the Digital Document Services team, you will design and deliver secure, stable, and scalable technology products that support the firm's core business objectives. You'll carry out critical technology solutions across multiple technical areas while working in a dynamic, agile environment. Your contributions will help drive meaningful improvements in software applications and systems, empowering you to collaborate, innovate, and make a lasting impact. Job responsibilities Execute software solutions across design, development, and technical troubleshooting to build innovative, production-ready applications Create secure, high-quality production code and maintain algorithms that operate synchronously with appropriate systems Produce architecture and design artifacts for complex applications, ensuring all design constraints and standards are met Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to inform technical decisions Identify hidden problems and patterns in data to drive improvements in coding hygiene and overall system architecture Contribute to software engineering communities of practice and participate in events exploring new and emerging technologies Foster a team culture of diversity, equity, inclusion, and respect through active collaboration and engagement Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards 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 proficient applied experience Practical experience in system design, application development, testing, and operational stability Proficiency in coding in one or more programming languages Experience developing, debugging, and maintaining code in a large-scale environment using modern programming languages and database querying languages Hands-on experience in server-side Core Java, XML, JSON, J2EE programming, Spring Framework, and associated design techniques Experience developing web applications and REST APIs, with exposure to relational databases (Oracle/Sybase) or non-relational databases (MongoDB) Working knowledge of version control using Git, continuous integration tools such as Jenkins, and automation testing tools such as Selenium, Cucumber, Flyway, or Concordion Knowledge of Linux, shell scripting, and application services including Apache, Tomcat, and Spring Boot Experience with user interface technologies (Angular, TypeScript, React) and user interface testing tools (Jasmine, Karma, Jest) Working experience with cloud-native platforms (AWS, Kubernetes, or private cloud environments) Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies and evolving user interface frameworks Exposure to cloud technologies and cloud-native development patterns Knowledge of industry-wide technology trends and best practices across technical disciplines such as artificial intelligence, machine learning, and mobile Ability to work effectively within large, collaborative teams to achieve shared organizational goals Passion for building an innovative, inclusive engineering culture
25/07/2026
Full time
Are you ready to make a real impact with your software engineering skills? At JPMorganChase, you'll collaborate with a diverse, agile team to deliver trusted, market-leading technology products. You'll have the opportunity to grow your career, work with cutting-edge tools, and help shape the future of digital document services. We value your expertise and encourage you to push the boundaries of what's possible. Join us and be part of a culture that celebrates innovation, inclusion, and continuous learning. As a Software Engineer III at JPMorganChase within the Digital Document Services team, you will design and deliver secure, stable, and scalable technology products that support the firm's core business objectives. You'll carry out critical technology solutions across multiple technical areas while working in a dynamic, agile environment. Your contributions will help drive meaningful improvements in software applications and systems, empowering you to collaborate, innovate, and make a lasting impact. Job responsibilities Execute software solutions across design, development, and technical troubleshooting to build innovative, production-ready applications Create secure, high-quality production code and maintain algorithms that operate synchronously with appropriate systems Produce architecture and design artifacts for complex applications, ensuring all design constraints and standards are met Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to inform technical decisions Identify hidden problems and patterns in data to drive improvements in coding hygiene and overall system architecture Contribute to software engineering communities of practice and participate in events exploring new and emerging technologies Foster a team culture of diversity, equity, inclusion, and respect through active collaboration and engagement Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards 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 proficient applied experience Practical experience in system design, application development, testing, and operational stability Proficiency in coding in one or more programming languages Experience developing, debugging, and maintaining code in a large-scale environment using modern programming languages and database querying languages Hands-on experience in server-side Core Java, XML, JSON, J2EE programming, Spring Framework, and associated design techniques Experience developing web applications and REST APIs, with exposure to relational databases (Oracle/Sybase) or non-relational databases (MongoDB) Working knowledge of version control using Git, continuous integration tools such as Jenkins, and automation testing tools such as Selenium, Cucumber, Flyway, or Concordion Knowledge of Linux, shell scripting, and application services including Apache, Tomcat, and Spring Boot Experience with user interface technologies (Angular, TypeScript, React) and user interface testing tools (Jasmine, Karma, Jest) Working experience with cloud-native platforms (AWS, Kubernetes, or private cloud environments) Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies and evolving user interface frameworks Exposure to cloud technologies and cloud-native development patterns Knowledge of industry-wide technology trends and best practices across technical disciplines such as artificial intelligence, machine learning, and mobile Ability to work effectively within large, collaborative teams to achieve shared organizational goals Passion for building an innovative, inclusive engineering culture
DataVita is a next-generation cloud and infrastructure company operating from Tier III-certified data centres in Scotland. We work at the bleeding edge of AI adoption, automation, and how these technologies can be integrated into complex legacy environments to deliver genuine transformation. DataVita is the fastest growing technology company in Scotland, with plans to deploy and invest over £2 billion in the coming years. You would be joining at a relatively early stage of that trajectory. For the right person, this is a chance to build something from the ground up inside a business that is scaling fast. About the job The Unix Engineer will be responsible for the administration, maintenance, support, and continuous improvement of enterprise Unix platforms within customer and internal environments. The successful candidate will have extensive hands-on experience with Solaris and IBM AIX systems and will play a key role in ensuring the availability, security, and performance of business-critical infrastructure. Working as part of a highly skilled infrastructure team, you will support production environments, contribute to project delivery, troubleshoot complex technical issues, and participate in platform upgrades and lifecycle management. Key Responsibilities Administer, maintain, and support enterprise Unix operating systems, primarily Solaris and IBM AIX. Monitor system health, performance, and availability, taking proactive action to prevent service disruption. Install, configure, patch, and upgrade Unix operating systems and associated software. Perform troubleshooting and root cause analysis for complex infrastructure issues. Support business-critical production environments while maintaining agreed service levels. Implement security best practices, system hardening, and vulnerability remediation. Manage storage, filesystems, logical volumes, and system resources. Develop and maintain automation scripts using Shell, Perl, or Python where appropriate. Produce and maintain technical documentation, operational procedures, and knowledge articles. Support backup, disaster recovery, and business continuity activities. Participate in change management, incident management, and problem management processes. Work collaboratively with Linux, Windows, Network, Storage, Cloud, and Security teams to deliver integrated infrastructure solutions. Participate in an on-call support rota where required. Strong commercial experience administering enterprise Unix environments. Oracle Solaris (Solaris 10/11) IBM AIX (6.x/7.x or later) Strong knowledge of: LVM and filesystem administration Performance tuning and capacity management System patching and lifecycle management User, group, and permission management SSH, NFS, DNS, LDAP, and related infrastructure services Experience using monitoring and enterprise management tools. Strong troubleshooting and analytical skills. Experience working within ITIL-based support environments. Excellent communication and documentation skills. Knowledge of automation tools such as Ansible. Experience with SAN storage technologies. Exposure to VMware or enterprise virtualisation platforms. Familiarity with backup technologies such as NetBackup or IBM Spectrum Protect. Experience working within regulated or security-conscious environments. Cloud platform exposure (Azure, AWS, or OCI). Relevant vendor certifications for Solaris or IBM AIX. What You Will Get Professional training and development throughout your time at DataVita The chance to shape a creative function inside a fast-scaling business 33 days annual leave Life assurance at 4x salary Group income protection at 70% of salary for up to 2 years : remote GP - physiotherapy, nutritionist, and more Cycle to Work and EV car salary sacrifice schemes 6 fully expensed company events per year Option to donate to charity through salary
25/07/2026
Full time
DataVita is a next-generation cloud and infrastructure company operating from Tier III-certified data centres in Scotland. We work at the bleeding edge of AI adoption, automation, and how these technologies can be integrated into complex legacy environments to deliver genuine transformation. DataVita is the fastest growing technology company in Scotland, with plans to deploy and invest over £2 billion in the coming years. You would be joining at a relatively early stage of that trajectory. For the right person, this is a chance to build something from the ground up inside a business that is scaling fast. About the job The Unix Engineer will be responsible for the administration, maintenance, support, and continuous improvement of enterprise Unix platforms within customer and internal environments. The successful candidate will have extensive hands-on experience with Solaris and IBM AIX systems and will play a key role in ensuring the availability, security, and performance of business-critical infrastructure. Working as part of a highly skilled infrastructure team, you will support production environments, contribute to project delivery, troubleshoot complex technical issues, and participate in platform upgrades and lifecycle management. Key Responsibilities Administer, maintain, and support enterprise Unix operating systems, primarily Solaris and IBM AIX. Monitor system health, performance, and availability, taking proactive action to prevent service disruption. Install, configure, patch, and upgrade Unix operating systems and associated software. Perform troubleshooting and root cause analysis for complex infrastructure issues. Support business-critical production environments while maintaining agreed service levels. Implement security best practices, system hardening, and vulnerability remediation. Manage storage, filesystems, logical volumes, and system resources. Develop and maintain automation scripts using Shell, Perl, or Python where appropriate. Produce and maintain technical documentation, operational procedures, and knowledge articles. Support backup, disaster recovery, and business continuity activities. Participate in change management, incident management, and problem management processes. Work collaboratively with Linux, Windows, Network, Storage, Cloud, and Security teams to deliver integrated infrastructure solutions. Participate in an on-call support rota where required. Strong commercial experience administering enterprise Unix environments. Oracle Solaris (Solaris 10/11) IBM AIX (6.x/7.x or later) Strong knowledge of: LVM and filesystem administration Performance tuning and capacity management System patching and lifecycle management User, group, and permission management SSH, NFS, DNS, LDAP, and related infrastructure services Experience using monitoring and enterprise management tools. Strong troubleshooting and analytical skills. Experience working within ITIL-based support environments. Excellent communication and documentation skills. Knowledge of automation tools such as Ansible. Experience with SAN storage technologies. Exposure to VMware or enterprise virtualisation platforms. Familiarity with backup technologies such as NetBackup or IBM Spectrum Protect. Experience working within regulated or security-conscious environments. Cloud platform exposure (Azure, AWS, or OCI). Relevant vendor certifications for Solaris or IBM AIX. What You Will Get Professional training and development throughout your time at DataVita The chance to shape a creative function inside a fast-scaling business 33 days annual leave Life assurance at 4x salary Group income protection at 70% of salary for up to 2 years : remote GP - physiotherapy, nutritionist, and more Cycle to Work and EV car salary sacrifice schemes 6 fully expensed company events per year Option to donate to charity through salary
Software Engineer III - Public Cloud Location: Bournemouth, UK Job Family: 602 - Software Engineer III As a Software Engineer III at JPMorgan Chase within our Public Cloud team, you serve as a seasoned member of an agile team to design and deliver trusted market leading technology products in a secure, stable, and scalable way. Joining our Public Cloud team in Bournemouth, you will be responsible for carrying out critical cloud native technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job Responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems Creates secure and high quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex cloud native applications while being accountable for ensuring design constraints are met by software code development Designs, builds, and operates resilient, scalable services deployed to AWS in line with firm wide public cloud standards Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging cloud technologies Leverages enterprise authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. 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 Hands on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more modern programming languages Hands on AWS development experience-building, deploying, and operating production workloads using core AWS services Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Practical experience using AI assisted developer tools and AI agents (e.g., Copilot, Claude Code, or equivalent) to improve engineering productivity, code quality, and knowledge acquisition 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 developing services in Go (Golang) Practical experience with Kubernetes-deploying, operating, and troubleshooting containerized workloads (EKS preferred) Experience with Infrastructure-as-Code tooling (Terraform, CloudFormation, CDK) Familiarity with observability tooling (Prometheus, Grafana, Datadog) AWS certifications (Developer Associate, Solutions Architect, or higher)
25/07/2026
Full time
Software Engineer III - Public Cloud Location: Bournemouth, UK Job Family: 602 - Software Engineer III As a Software Engineer III at JPMorgan Chase within our Public Cloud team, you serve as a seasoned member of an agile team to design and deliver trusted market leading technology products in a secure, stable, and scalable way. Joining our Public Cloud team in Bournemouth, you will be responsible for carrying out critical cloud native technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job Responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems Creates secure and high quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex cloud native applications while being accountable for ensuring design constraints are met by software code development Designs, builds, and operates resilient, scalable services deployed to AWS in line with firm wide public cloud standards Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging cloud technologies Leverages enterprise authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. 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 Hands on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more modern programming languages Hands on AWS development experience-building, deploying, and operating production workloads using core AWS services Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Practical experience using AI assisted developer tools and AI agents (e.g., Copilot, Claude Code, or equivalent) to improve engineering productivity, code quality, and knowledge acquisition 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 developing services in Go (Golang) Practical experience with Kubernetes-deploying, operating, and troubleshooting containerized workloads (EKS preferred) Experience with Infrastructure-as-Code tooling (Terraform, CloudFormation, CDK) Familiarity with observability tooling (Prometheus, Grafana, Datadog) AWS certifications (Developer Associate, Solutions Architect, or higher)
Site Reliability Engineer IIIApplylocations: Belfast - Millennium Housetime type: Full timeposted on: Posted Todayjob requisition id: 33993 Site Reliability Engineer III/SRE III (Tue - Sat) CME Group is seeking a Site Reliability Engineer III (Tue - Sat) to take a key role in building, operating, and scaling systems in our Markets portfolio. As an SRE III, you will apply your experience to the complex challenges of the CME Globex trading platform, where our systems deliver an exceptional combination of low-latency performance and rock-solid reliability .You will work with senior engineers on complex projects, take ownership of key reliability initiatives, and act as a mentor to junior colleagues, helping to shape the team's technical direction. Key Responsibilities Own Observability: Design, build, and refine monitoring, alerting, and observability solutions. Drive the continuous improvement of our SLIs & SLOs to enable faster issue detection and resolution. Drive Reliability Projects: Take ownership of reliability-focused projects from design to implementation, collaborating with product teams to ensure new features are scalable, resilient, and safe. Lead Technical Solutions: Lead technical discussions for your work, presenting solution options and proposals with clear trade-offs. Automate Intelligently: Proactively identify and eliminate toil through robust automation, improving both system reliability and team velocity. Manage Incidents: Take a leading role in incident response, owning the resolution of significant incidents, ensuring rapid system recovery, and driving meaningful action from blameless post-mortems. Mentor & Coach: Act as a technical mentor and point of escalation for L1 and L2 SREs, fostering their growth through code reviews and paired work. Architect for the Future: Contribute your own ideas to the product backlog and play an active role in the architectural design for the migration to Google Cloud Platform (GCP). What We're Looking For 3-5+ years of professional experience in a Site Reliability, DevOps, Software, or Systems Engineering role. Strong, hands-on experience administering and troubleshooting Linux-based production systems. Proficient programming skills in a language like Python or Go, with a track record of automating complex operational tasks. Proven ability to lead technical initiatives and solve complex problems with a high degree of autonomy. Excellent communication skills, with the ability to articulate complex technical concepts to diverse audiences. A proactive and ownership-oriented mindset. Desirable Skills Cloud Platforms: Deep experience with Google Cloud Platform (GCP), especially GCE, GKE, and cloud networking. Monitoring Tools: Expertise in designing and managing monitoring stacks (e.g., Prometheus, Grafana, OpenTelemetry). Distributed Systems: Strong practical knowledge of building and maintaining large-scale distributed systems. Containerisation: Advanced experience with Kubernetes and Docker in a production environment. Networking: Solid understanding of networking protocols (HTTP, TCP/UDP, IP) and network architecture. Domain Knowledge: Experience in financial markets, low-latency systems, or with message-oriented middleware. Why CME Group Be part of a global leader in financial services technology. Work on cutting-edge technology in a collaborative and innovative culture. Receive a competitive compensation and benefits package. Grow your career in SRE with an organisation committed to this modern approach.Join CME Group and play a crucial role in ensuring the stability and performance of our global trading applications. Apply now to be a part of our dynamic SRE team! Company Benefits: Bonus Programme Generous shift allowance Equity Programme Employee Stock Purchase Plan (ESPP) Private Medical and Dental coverage Mental Health Benefit Programme Group Pension Plan Income Protection Life Assurance Cycle To Work EV Car Benefit Scheme Gym Membership Family Leave Education Assistance - MBA/Advanced Degree/Bachelor Degree Ongoing Employee Development Training/Certification Hybrid Working
25/07/2026
Full time
Site Reliability Engineer IIIApplylocations: Belfast - Millennium Housetime type: Full timeposted on: Posted Todayjob requisition id: 33993 Site Reliability Engineer III/SRE III (Tue - Sat) CME Group is seeking a Site Reliability Engineer III (Tue - Sat) to take a key role in building, operating, and scaling systems in our Markets portfolio. As an SRE III, you will apply your experience to the complex challenges of the CME Globex trading platform, where our systems deliver an exceptional combination of low-latency performance and rock-solid reliability .You will work with senior engineers on complex projects, take ownership of key reliability initiatives, and act as a mentor to junior colleagues, helping to shape the team's technical direction. Key Responsibilities Own Observability: Design, build, and refine monitoring, alerting, and observability solutions. Drive the continuous improvement of our SLIs & SLOs to enable faster issue detection and resolution. Drive Reliability Projects: Take ownership of reliability-focused projects from design to implementation, collaborating with product teams to ensure new features are scalable, resilient, and safe. Lead Technical Solutions: Lead technical discussions for your work, presenting solution options and proposals with clear trade-offs. Automate Intelligently: Proactively identify and eliminate toil through robust automation, improving both system reliability and team velocity. Manage Incidents: Take a leading role in incident response, owning the resolution of significant incidents, ensuring rapid system recovery, and driving meaningful action from blameless post-mortems. Mentor & Coach: Act as a technical mentor and point of escalation for L1 and L2 SREs, fostering their growth through code reviews and paired work. Architect for the Future: Contribute your own ideas to the product backlog and play an active role in the architectural design for the migration to Google Cloud Platform (GCP). What We're Looking For 3-5+ years of professional experience in a Site Reliability, DevOps, Software, or Systems Engineering role. Strong, hands-on experience administering and troubleshooting Linux-based production systems. Proficient programming skills in a language like Python or Go, with a track record of automating complex operational tasks. Proven ability to lead technical initiatives and solve complex problems with a high degree of autonomy. Excellent communication skills, with the ability to articulate complex technical concepts to diverse audiences. A proactive and ownership-oriented mindset. Desirable Skills Cloud Platforms: Deep experience with Google Cloud Platform (GCP), especially GCE, GKE, and cloud networking. Monitoring Tools: Expertise in designing and managing monitoring stacks (e.g., Prometheus, Grafana, OpenTelemetry). Distributed Systems: Strong practical knowledge of building and maintaining large-scale distributed systems. Containerisation: Advanced experience with Kubernetes and Docker in a production environment. Networking: Solid understanding of networking protocols (HTTP, TCP/UDP, IP) and network architecture. Domain Knowledge: Experience in financial markets, low-latency systems, or with message-oriented middleware. Why CME Group Be part of a global leader in financial services technology. Work on cutting-edge technology in a collaborative and innovative culture. Receive a competitive compensation and benefits package. Grow your career in SRE with an organisation committed to this modern approach.Join CME Group and play a crucial role in ensuring the stability and performance of our global trading applications. Apply now to be a part of our dynamic SRE team! Company Benefits: Bonus Programme Generous shift allowance Equity Programme Employee Stock Purchase Plan (ESPP) Private Medical and Dental coverage Mental Health Benefit Programme Group Pension Plan Income Protection Life Assurance Cycle To Work EV Car Benefit Scheme Gym Membership Family Leave Education Assistance - MBA/Advanced Degree/Bachelor Degree Ongoing Employee Development Training/Certification Hybrid Working
About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. About the role The Product & Engineering team is responsible for designing, building and scaling Data & AI products that power intelligent experiences, decisions and actions across the Tesco ecosystem. Working in close partnership with business and technology teams across Stores, Finance, People, Customer and Commercial, we enable these seamless build, integration and adoption of Data & AI capabilities that deliver measurable value. This is an opportunity to play a leading role in shaping a new generation of Data & AI products, from problem definition through to launch and scale, driving meaningful impact for Tesco colleagues and the wider business. This is a hybrid role with the expectation of being based at our London and Welwyn Garden City offices 3 days a week. You will be responsible for The Software Development Engineer III is a senior, hands on engineer specialising in building and operating GenAI powered products, including LLM based applications and agentic workflows that enable intelligent decision making and automation. The role spans the full product lifecycle, translating complex business problems into production grade solutions across data, backend services, APIs and user facing applications, with a strong focus on reliability, guardrails and real user impact. The role also provides technical leadership by designing shared GenAI capabilities, supporting live systems and raising engineering and AI delivery standards across the team through mentoring and rigorous design practice. Data & AI Product Development: Take ideas from discovery through rapid prototypes to production grade solutions that combine data, user facing applications and backend services. Work closely with product managers, designers, data science and engineering teams to translate business needs into well designed technical solutions. Design and deliver LLM based applications and AI agents that enable intelligent decision making and automation, applying pragmatic engineering patterns and appropriate guardrails. Design and consume APIs that support responsive, intuitive UIs, working across backend, data and frontend layers to deliver coherent, production-ready experiences. Build shared capabilities (libraries, templates, services, prompts/config patterns, evaluation suites) that reduce duplication and enable other squads to adopt GenAI safely and consistently. Support and operate live systems, troubleshoot complex issues, perform root cause analysis and continuously improve reliability, quality and speed of delivery. Build and maintain web-based user interfaces using React.js, modern JavaScript / TypeScript, HTML and CSS, enabling colleagues to interact effectively with data and AI based tools. Technical Excellence: Promote strong software engineering practices across backend and frontend development, including CI/CD, testing, secure by default development, performance optimisation and observability. Technical Leadership: Provide hands on technical leadership through design reviews, mentoring and knowledge sharing, helping raise engineering standards across the team. You will need Strong experience as a senior software engineer delivering and operating production systems. Solid backend engineering experience (e.g. Python or similar), including API design, testing, CI/CD and operational support. Practical experience building LLM-powered applications (e.g. copilots, assistants, agent based workflows), with a focus on reliability and real user impact. Good working knowledge of React.js and modern JavaScript / TypeScript, with experience building and maintaining production web interfaces. Proficiency with HTML and CSS, and an understanding of usability, accessibility and performance considerations. Experience working across data, backend and UI layers, collaborating with others rather than owning every layer in isolation. Ability to make thoughtful technical trade offs, communicate clearly with both technical and non technical stakeholders and work effectively in a product led team. What's in it for you Annual bonus scheme of up to 20% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) Private medical insurance 26 weeks maternity and adoption leave (after 1 year service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay; we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing
25/07/2026
Full time
About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. About the role The Product & Engineering team is responsible for designing, building and scaling Data & AI products that power intelligent experiences, decisions and actions across the Tesco ecosystem. Working in close partnership with business and technology teams across Stores, Finance, People, Customer and Commercial, we enable these seamless build, integration and adoption of Data & AI capabilities that deliver measurable value. This is an opportunity to play a leading role in shaping a new generation of Data & AI products, from problem definition through to launch and scale, driving meaningful impact for Tesco colleagues and the wider business. This is a hybrid role with the expectation of being based at our London and Welwyn Garden City offices 3 days a week. You will be responsible for The Software Development Engineer III is a senior, hands on engineer specialising in building and operating GenAI powered products, including LLM based applications and agentic workflows that enable intelligent decision making and automation. The role spans the full product lifecycle, translating complex business problems into production grade solutions across data, backend services, APIs and user facing applications, with a strong focus on reliability, guardrails and real user impact. The role also provides technical leadership by designing shared GenAI capabilities, supporting live systems and raising engineering and AI delivery standards across the team through mentoring and rigorous design practice. Data & AI Product Development: Take ideas from discovery through rapid prototypes to production grade solutions that combine data, user facing applications and backend services. Work closely with product managers, designers, data science and engineering teams to translate business needs into well designed technical solutions. Design and deliver LLM based applications and AI agents that enable intelligent decision making and automation, applying pragmatic engineering patterns and appropriate guardrails. Design and consume APIs that support responsive, intuitive UIs, working across backend, data and frontend layers to deliver coherent, production-ready experiences. Build shared capabilities (libraries, templates, services, prompts/config patterns, evaluation suites) that reduce duplication and enable other squads to adopt GenAI safely and consistently. Support and operate live systems, troubleshoot complex issues, perform root cause analysis and continuously improve reliability, quality and speed of delivery. Build and maintain web-based user interfaces using React.js, modern JavaScript / TypeScript, HTML and CSS, enabling colleagues to interact effectively with data and AI based tools. Technical Excellence: Promote strong software engineering practices across backend and frontend development, including CI/CD, testing, secure by default development, performance optimisation and observability. Technical Leadership: Provide hands on technical leadership through design reviews, mentoring and knowledge sharing, helping raise engineering standards across the team. You will need Strong experience as a senior software engineer delivering and operating production systems. Solid backend engineering experience (e.g. Python or similar), including API design, testing, CI/CD and operational support. Practical experience building LLM-powered applications (e.g. copilots, assistants, agent based workflows), with a focus on reliability and real user impact. Good working knowledge of React.js and modern JavaScript / TypeScript, with experience building and maintaining production web interfaces. Proficiency with HTML and CSS, and an understanding of usability, accessibility and performance considerations. Experience working across data, backend and UI layers, collaborating with others rather than owning every layer in isolation. Ability to make thoughtful technical trade offs, communicate clearly with both technical and non technical stakeholders and work effectively in a product led team. What's in it for you Annual bonus scheme of up to 20% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) Private medical insurance 26 weeks maternity and adoption leave (after 1 year service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay; we also offer 6 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to team Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Price is a key factor influencing traveler's path to driving a choice leading to a purchase. In a world of infinite paths to purchase, travelers make multiple searches and find the 'best trip' and 'best deal'. The Offers Domain team is tasked with giving the customer a simple, clear, accurate, transparent pricing throughout their shopping and booking journeys. We do this by putting the customer first, creating capabilities that can be shared and presented to the customer that meet the travelers' expectations in locally relevant ways and adhere to regulatory norms. This is a great opportunity for you to play a pivotal role in shaping our technical domain with the goal of powering all Expedia Group's brands and product lines. In this role, you will: Design and implement scalable, robust, and maintainable systems and services across multiple domains, with a focus on reliability and performance. Develop complex application logic, APIs, and data models aligned to business goals and best engineering practices. Collaborate with cross-functional teams to deliver high-quality, full-stack solutions that integrate seamlessly across platforms. Lead technical efforts in system architecture, code reviews, and establishing engineering standards. Safely integrate and operate AI/ML-enabled solutions that improve outcomes, ensuring responsible use of advanced technologies. Proactively identify, diagnose, and resolve production issues, continuously improving system health and operational excellence. Minimum Qualifications: Bachelor's degree in Computer Science or a related technical field; or equivalent related professional experience. 5+ years of relevant professional experience. Strong software engineering fundamentals-data structures, and algorithms in Java or Kotlin, with familiarity across the JVM stack, system design, and distributed systems-and can understand highly complex systems, design moderately complex services, and guide integrations across teams within the business unit. Building and operating high performance, highly available backend services in public/hybrid cloud environments (Kotlin strongly preferred). Demonstrated experience leading engineering efforts for services operating at scale in a cloud environment (preferably AWS), including deploying and operating services using platform tooling and/or infrastructure as code. Hands-on experience designing, building, and operating large-scale, distributed systems and services. Strong proficiency in system design, API design, and data modeling. Experience using modern AI assisted development tools (for example, IDE assistants, chat based coding agents, or AI augmented code review/testing tools) as part of your daily workflow, beyond simple code autocompletion, and are comfortable working in an AI integrated environment. Preferred Qualifications: Experience with container technologies (such as Kubernetes) and CI/CD tools or processes. Expertise in architecting end-to-end solutions integrating multiple systems or domains. Strong focus on operational excellence, including monitoring, automation, and incident response. Data-driven approach to problem solving and technical decision making, including leveraging AI/ML insights where appropriate. Deep knowledge of safely integrating AI/ML features into production systems and optimizing their impact at scale. On-Call Requirement This position requires the employee to be on-call outside of regular working hours. On-call duties encompass: Responding to emergencies or incidents as they arise Providing prompt support and solutions Participating in on-call rotations, including nights, weekends, and bank holidays Remaining reachable by phone or other communication methods at all times during on-call periods Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
24/07/2026
Full time
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to team Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Price is a key factor influencing traveler's path to driving a choice leading to a purchase. In a world of infinite paths to purchase, travelers make multiple searches and find the 'best trip' and 'best deal'. The Offers Domain team is tasked with giving the customer a simple, clear, accurate, transparent pricing throughout their shopping and booking journeys. We do this by putting the customer first, creating capabilities that can be shared and presented to the customer that meet the travelers' expectations in locally relevant ways and adhere to regulatory norms. This is a great opportunity for you to play a pivotal role in shaping our technical domain with the goal of powering all Expedia Group's brands and product lines. In this role, you will: Design and implement scalable, robust, and maintainable systems and services across multiple domains, with a focus on reliability and performance. Develop complex application logic, APIs, and data models aligned to business goals and best engineering practices. Collaborate with cross-functional teams to deliver high-quality, full-stack solutions that integrate seamlessly across platforms. Lead technical efforts in system architecture, code reviews, and establishing engineering standards. Safely integrate and operate AI/ML-enabled solutions that improve outcomes, ensuring responsible use of advanced technologies. Proactively identify, diagnose, and resolve production issues, continuously improving system health and operational excellence. Minimum Qualifications: Bachelor's degree in Computer Science or a related technical field; or equivalent related professional experience. 5+ years of relevant professional experience. Strong software engineering fundamentals-data structures, and algorithms in Java or Kotlin, with familiarity across the JVM stack, system design, and distributed systems-and can understand highly complex systems, design moderately complex services, and guide integrations across teams within the business unit. Building and operating high performance, highly available backend services in public/hybrid cloud environments (Kotlin strongly preferred). Demonstrated experience leading engineering efforts for services operating at scale in a cloud environment (preferably AWS), including deploying and operating services using platform tooling and/or infrastructure as code. Hands-on experience designing, building, and operating large-scale, distributed systems and services. Strong proficiency in system design, API design, and data modeling. Experience using modern AI assisted development tools (for example, IDE assistants, chat based coding agents, or AI augmented code review/testing tools) as part of your daily workflow, beyond simple code autocompletion, and are comfortable working in an AI integrated environment. Preferred Qualifications: Experience with container technologies (such as Kubernetes) and CI/CD tools or processes. Expertise in architecting end-to-end solutions integrating multiple systems or domains. Strong focus on operational excellence, including monitoring, automation, and incident response. Data-driven approach to problem solving and technical decision making, including leveraging AI/ML insights where appropriate. Deep knowledge of safely integrating AI/ML features into production systems and optimizing their impact at scale. On-Call Requirement This position requires the employee to be on-call outside of regular working hours. On-call duties encompass: Responding to emergencies or incidents as they arise Providing prompt support and solutions Participating in on-call rotations, including nights, weekends, and bank holidays Remaining reachable by phone or other communication methods at all times during on-call periods Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Job Description We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Software Engineer III at JPMorganChase within the Firmwide LLM Serving Platform team, you are an integral part of an agile team that designs, builds, and operates the services that make large language models usable at scale. This is an infrastructure-meets-ML role: you don't need to be an ML researcher, but you should be excited to learn how model architectures and inference constraints translate into real production systems. You will contribute to a living platform where we optimize performance â pushing down latency, increasing throughput, maximizing GPU utilization, and eliminating waste across the request lifecycle. Job Responsibilities Build core backend services for LLM inference, including request routing, batching, scheduling, streaming responses, and quota/limits. Implement and maintain APIs and SDKs used by product and application teams across the firm. Profile and optimize performance end-to-end across CPU, memory, network, serialization, concurrency, GPU utilization, and caching. Improve reliability and operability through health checks, graceful degradation, autoscaling behaviors, incident follow-ups, and runbooks. Contribute to system design by breaking down ambiguous problems, proposing approaches, and making pragmatic tradeoffs. Add observability with metrics, tracing, logging, dashboards, and actionable alerts tied to SLOs. Support safe deployments through CI/CD improvements, canarying, feature flags, backward compatibility, and rollback plans. Learn LLM serving fundamentals â tokenization costs, KV cache, quantization, context length tradeoffs, throughput vs. latency. Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. 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. Add to team culture of diversity, opportunity, inclusion, and respect. Required Qualifications, Capabilities, and Skills Formal training or certification on software engineering concepts and applied experience. Bachelor's Degree in Computer Science or equivalent. Solid programming fundamentals: data structures, concurrency basics, debugging, testing. Comfort working in one or more of Go, Python, or TypeScript, with the ability to ramp up quickly on the others. Interest in distributed systems and system design, even if you haven't built large systems yet. Curiosity about LLMs and AI model architecture, with willingness to learn quickly. A measurement-driven mindset: you like profiling, benchmarking, and proving improvements with data. 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 with performance profiling tools such as pprof, flamegraphs, or distributed tracing systems. Familiarity with containers and orchestration (Docker, Kubernetes) and service to service networking. Understanding of inference concepts: batching, streaming tokens, GPU memory constraints, KV cache. Experience with high throughput APIs (gRPC/HTTP), eventing/queues, or caching layers such as Redis. Exposure to reliability practices: SLOs/SLIs, on call rotations, incident reviews. 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.
24/07/2026
Full time
Job Description We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Software Engineer III at JPMorganChase within the Firmwide LLM Serving Platform team, you are an integral part of an agile team that designs, builds, and operates the services that make large language models usable at scale. This is an infrastructure-meets-ML role: you don't need to be an ML researcher, but you should be excited to learn how model architectures and inference constraints translate into real production systems. You will contribute to a living platform where we optimize performance â pushing down latency, increasing throughput, maximizing GPU utilization, and eliminating waste across the request lifecycle. Job Responsibilities Build core backend services for LLM inference, including request routing, batching, scheduling, streaming responses, and quota/limits. Implement and maintain APIs and SDKs used by product and application teams across the firm. Profile and optimize performance end-to-end across CPU, memory, network, serialization, concurrency, GPU utilization, and caching. Improve reliability and operability through health checks, graceful degradation, autoscaling behaviors, incident follow-ups, and runbooks. Contribute to system design by breaking down ambiguous problems, proposing approaches, and making pragmatic tradeoffs. Add observability with metrics, tracing, logging, dashboards, and actionable alerts tied to SLOs. Support safe deployments through CI/CD improvements, canarying, feature flags, backward compatibility, and rollback plans. Learn LLM serving fundamentals â tokenization costs, KV cache, quantization, context length tradeoffs, throughput vs. latency. Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. 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. Add to team culture of diversity, opportunity, inclusion, and respect. Required Qualifications, Capabilities, and Skills Formal training or certification on software engineering concepts and applied experience. Bachelor's Degree in Computer Science or equivalent. Solid programming fundamentals: data structures, concurrency basics, debugging, testing. Comfort working in one or more of Go, Python, or TypeScript, with the ability to ramp up quickly on the others. Interest in distributed systems and system design, even if you haven't built large systems yet. Curiosity about LLMs and AI model architecture, with willingness to learn quickly. A measurement-driven mindset: you like profiling, benchmarking, and proving improvements with data. 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 with performance profiling tools such as pprof, flamegraphs, or distributed tracing systems. Familiarity with containers and orchestration (Docker, Kubernetes) and service to service networking. Understanding of inference concepts: batching, streaming tokens, GPU memory constraints, KV cache. Experience with high throughput APIs (gRPC/HTTP), eventing/queues, or caching layers such as Redis. Exposure to reliability practices: SLOs/SLIs, on call rotations, incident reviews. 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.
Overview We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Software Engineer III at JPMorganChase within the Firmwide LLM Serving Platform team, you are an integral part of an agile team that designs, builds, and operates the services that make large language models usable at scale. This is an infrastructure-meets-ML role: you don't need to be an ML researcher, but you should be excited to learn how model architectures and inference constraints translate into real production systems. You will contribute to a living platform where we optimize performance - pushing down latency, increasing throughput, maximizing GPU utilization, and eliminating waste across the request lifecycle. Responsibilities Build core backend services for LLM inference, including request routing, batching, scheduling, streaming responses, and quota/limits. Implement and maintain APIs and SDKs used by product and application teams across the firm. Profile and optimize performance end-to-end across CPU, memory, network, serialization, concurrency, GPU utilization, and caching. Improve reliability and operability through health checks, graceful degradation, autoscaling behaviors, incident follow-ups, and runbooks. Contribute to system design by breaking down ambiguous problems, proposing approaches, and making pragmatic tradeoffs. Add observability with metrics, tracing, logging, dashboards, and actionable alerts tied to SLOs. Support safe deployments through CI/CD improvements, canarying, feature flags, backward compatibility, and rollback plans. Learn LLM serving fundamentals - tokenization costs, KV cache, quantization, context length tradeoffs, throughput vs. latency. Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. 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. Add to team culture of diversity, opportunity, inclusion, and respect. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and applied experience. Bachelor's Degree in Computer Science or equivalent. Solid programming fundamentals: data structures, concurrency basics, debugging, testing. Comfort working in one or more of Go, Python, or TypeScript, with the ability to ramp up quickly on the others. Interest in distributed systems and system design, even if you haven't built large systems yet. Curiosity about LLMs and AI model architecture, with willingness to learn quickly. A measurement-driven mindset: you like profiling, benchmarking, and proving improvements with data. 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 with performance profiling tools such as pprof, flamegraphs, or distributed tracing systems. Familiarity with containers and orchestration (Docker, Kubernetes) and service-to-service networking. Understanding of inference concepts: batching, streaming tokens, GPU memory constraints, KV cache. Experience with high-throughput APIs (gRPC/HTTP), eventing/queues, or caching layers such as Redis. Exposure to reliability practices: SLOs/SLIs, on-call rotations, incident reviews.
24/07/2026
Full time
Overview We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Software Engineer III at JPMorganChase within the Firmwide LLM Serving Platform team, you are an integral part of an agile team that designs, builds, and operates the services that make large language models usable at scale. This is an infrastructure-meets-ML role: you don't need to be an ML researcher, but you should be excited to learn how model architectures and inference constraints translate into real production systems. You will contribute to a living platform where we optimize performance - pushing down latency, increasing throughput, maximizing GPU utilization, and eliminating waste across the request lifecycle. Responsibilities Build core backend services for LLM inference, including request routing, batching, scheduling, streaming responses, and quota/limits. Implement and maintain APIs and SDKs used by product and application teams across the firm. Profile and optimize performance end-to-end across CPU, memory, network, serialization, concurrency, GPU utilization, and caching. Improve reliability and operability through health checks, graceful degradation, autoscaling behaviors, incident follow-ups, and runbooks. Contribute to system design by breaking down ambiguous problems, proposing approaches, and making pragmatic tradeoffs. Add observability with metrics, tracing, logging, dashboards, and actionable alerts tied to SLOs. Support safe deployments through CI/CD improvements, canarying, feature flags, backward compatibility, and rollback plans. Learn LLM serving fundamentals - tokenization costs, KV cache, quantization, context length tradeoffs, throughput vs. latency. Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. 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. Add to team culture of diversity, opportunity, inclusion, and respect. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and applied experience. Bachelor's Degree in Computer Science or equivalent. Solid programming fundamentals: data structures, concurrency basics, debugging, testing. Comfort working in one or more of Go, Python, or TypeScript, with the ability to ramp up quickly on the others. Interest in distributed systems and system design, even if you haven't built large systems yet. Curiosity about LLMs and AI model architecture, with willingness to learn quickly. A measurement-driven mindset: you like profiling, benchmarking, and proving improvements with data. 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 with performance profiling tools such as pprof, flamegraphs, or distributed tracing systems. Familiarity with containers and orchestration (Docker, Kubernetes) and service-to-service networking. Understanding of inference concepts: batching, streaming tokens, GPU memory constraints, KV cache. Experience with high-throughput APIs (gRPC/HTTP), eventing/queues, or caching layers such as Redis. Exposure to reliability practices: SLOs/SLIs, on-call rotations, incident reviews.