125 jobs found

Fairygodboss is seeking a Front-end Software Engineer III to join the Risk Technology team, focusing on building secure and scalable software products using Javascript, Typescript, and React. You will work in an agile environment, implementing key technical solutions across various business functions. The ideal candidate has strong development skills and experience with cloud deployment through Kubernetes. This role emphasizes collaboration, innovation, and a commitment to diversity and inclusion within the workplace.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with full stack development, across back-end such as Java, Python, Kotlin, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent. Experience with relational databases and writing SQL queries. Experience with software architecture, API design, and distributed systems. Preferred qualifications: Experience with Machine Learning, Generative AI, large language models (LLMs). Experience working with server platform, Apps Framework, and Spanner. Interest or experience in Trust and Safety, fraud prevention, or identity verification. Familiarity with frontend development using server platform Web or similar TypeScript-based frameworks. Demonstrated ability to perform data analysis to drive engineering and product decisions. About the job the company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to the company's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As a Software Engineer on the Actor Safety team, you will contribute to the full-lifecycle development of the team's moderation and verification platform. People shop on the company more than a billion times a day - and the Commerce team is responsible for building the experiences that serve these users. The mission for the company Commerce is to be an essential part of the shopping journey for consumers - from inspiration to a simple and secure checkout experience - and the best place for retailers/merchants to connect with consumers. We support and partner with the commerce ecosystem, from large retailers to small local merchants, to give them the tools, technology and scale to thrive in today's digital world. Responsibilities Design and build robust backend services and evolve our verification platform into a centralized orchestration engine, managing complex state transitions and integrating with various identity and verification providers. Design, build, deploy, and iterate on machine learning models (including LLMs) to detect spam and abuse in Shopping. Collaborate closely with product managers, data analysts, operations teams, and other engineering teams to understand requirements, translate them into technical solutions, and deliver impactful results. Analyze data to identify patterns of abuse, measure the effectiveness of our systems, and guide future improvements. Contribute to the team's engineering excellence by maintaining and improving the reliability of the production system, participate in teams oncall and contribute to code reviews, documentation, and overall system health. the company is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also the company's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

JOB DESCRIPTION Help shape how intelligent systems are built and delivered at the company. In this role, you'll contribute to the LLM Suite platform by building AI/ML and agentic capabilities that are secure, reliable, and ready for production. You'll collaborate closely with senior engineers, learn through real design discussions, and grow your technical depth across cloud and modern AI frameworks. If you enjoy solving tough problems and iterating quickly with feedback, you'll fit right in. As an Applied AI ML Engineer in LLM Suite Engineering, Senior Associate, you will design, build, and troubleshoot software that enables AI/ML and agentic experiences on the platform. You will write secure, high-quality code and support algorithms that integrate with existing systems. You will collaborate with senior engineers on designs and implementation choices, focusing on reliability and operational stability. You will help deliver GenAI services using public cloud capabilities. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities. You will contribute as a team player who seeks and applies feedback. Job Responsibilities Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges Write secure, high-quality production code and maintain algorithms that integrate with existing systems Collaborate with senior engineers and participate in design discussions Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock Collaborate openly with the team, seek feedback, and apply it to improve outcomes Required Qualifications, Capabilities, and Skills Computer science degree or equivalent practical experience Hands on experience with system design, application development, testing, and operational stability Strong understanding of the Software Development Life Cycle Preferred Qualifications, Capabilities, and Skills Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock Proficiency in Python (FastAPI) Experience building microservices and APIs Experience with elastic compute, NoSQL databases, and messaging queues Proficiency working with large language models and building agents with LangGraph Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages, including containerization Knowledge of agent-to-agent (A2A) communication, Model Context Protocol (MCP), AI skills development, personal AI assistants, or agentic orchestrators ABOUT US the company, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

Do you enjoy building and improving API platforms that support a wide range of users and applications? Would you like to collaborate with a team to design, develop, and enhance scalable solutions that deliver a great developer experience? About our Team We are the API Management Platform team that looks after API gateways for Elsevier. Our team looks after the authentication, authorization, throttling, quota management of resources such as APIs, and MCP server/tools. We also offer analytical dashboards to our customers to track usage of these resources on the Platform. Our developer portal allows our customers to dynamically create credentials to the APIs of their choice. About the Role As a Software Engineer III, you will design, build, and support API platforms that serve both legacy and modern enterprise systems. You will work closely with team members to deliver high-quality, test-driven solutions and improve the developer experience for internal and external users. This role focuses on delivering reliable platforms, enabling smooth onboarding, and resolving technical challenges efficiently. Responsibilities Work with team members to ideate on the best technical solution to meet Product Requirements and translate them into software designs Document and review portions of detailed specifications for the development of complex system components. Complete bug fixes. Successfully implement development processes, coding best practices, and code reviews. Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders. Share your knowledge and be able to present your ideas confidently. Requirements Expertise in development languages including but not limited to: Java, JavaScript, Groovy, JSP, HTML, XML, SQL and bash. Knowledge and experience of build tools - Maven and Gradle Knowledge and experience of relational DBMS - Postgresdb Knowledge of using AWS services via Terraform - Secrets Manager, Kinesis Firehose, S3, Open Search etc Knowledge of using New Relic, Kibana for observing metrics and configuring alerts. Knowledge of using Docker, containers, helm, kustomize to set up and manage Kubernetes applications. Knowledge of using kubectl, k9s and similar tools to observe and manage k8s resources. 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 A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. 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. USA Job Seekers: EEO Know Your Rights.

Build the data foundation behind a digital investing experience used by over 275,000 investors in the UK. Join Personal Investing to help deliver clear, data-driven insights through robust cloud-native platforms and pipelines. You'll work with modern lakehouse, warehousing, and streaming technologies while strengthening engineering excellence and operational reliability. This is an opportunity to grow your impact on a platform that supports analytics and regulatory reporting at scale. Job summary As a Data Engineer at JPMorgan Chase within Personal Investing, you will build and operate a robust cloud-native data platform and pipelines that power analytics, regulatory reporting, and data-promoted applications at scale. You will help us deliver reliable, scalable, observable, and secure data solutions across cloud-native services, lakehouse architectures, data warehousing, and streaming systems. You'll partner with teammates to build consistent, maintainable pipelines and contribute across the software delivery lifecycle from requirements through support. Job responsibilities Build and maintain scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt Build and operate batch and streaming data pipelines with strong scalability, performance, and fault tolerance Develop and manage workflow orchestration using tools such as Apache Airflow to support reliable, observable, and well-scheduled data movement and transformations Implement and optimize data models and warehouse structures to support analytics and business intelligence workloads Write clean, testable Python/PySpark code using object-oriented principles and unit testing Implement infrastructure-as-code for the data platform using Terraform Containerize and deploy services using Docker, Kubernetes, and Helm Contribute across the software development lifecycle, including requirements, design, development, testing, deployment, release, and support Collaborate with teammates in an agile, dynamic environment to deliver reliable outcomes Required qualifications, capabilities, and skills Degree in Computer Science or a STEM-related field (or equivalent) Experience working in an agile and dynamic environment Experience across the software development lifecycle (requirements, design, architecture, development, testing, deployment, release, and support) At least 5 years of recent, hands on professional experience actively coding as a data engineer Hands on experience with major cloud technologies (e.g., AWS, Google Cloud, or Azure) Experience writing Python using object-oriented programming and unit/integration testing practices Experience with SQL and familiarity with SQL-based workflow management tools such as dbt Experience with orchestration tools such as Airflow (or similar) Understanding of messaging/streaming systems such as Kafka or Pub/Sub (or similar) Familiarity with infrastructure-as-code (e.g., Terraform) for cloud-based data infrastructure Preferred qualifications, capabilities, and skills Data modeling skills Experience with data streaming and scalable processing frameworks (e.g., Spark, Flink, Beam, or similar) Experience automating deployment, releases, and testing in continuous integration and continuous delivery pipelines Experience with lakehouse patterns and table formats (e.g., Apache Iceberg) Experience with federated query engines such as Trino Experience designing automated tests (unit, component, integration, and end to end), including use of mocking frameworks Experience with containers and container-based deployment environments (e.g., Docker, Kubernetes, or similar) 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.

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.

Help shape how intelligent systems are built and delivered at JPMorganChase. In this role, you'll contribute to the LLM Suite platform by building AI/ML and agentic capabilities that are secure, reliable, and ready for production. You'll collaborate closely with senior engineers, learn through real design discussions, and grow your technical depth across cloud and modern AI frameworks. If you enjoy solving tough problems and iterating quickly with feedback, you'll fit right in. As an Applied AI ML Engineer in LLM Suite Engineering, Senior Associate, you will design, build, and troubleshoot software that enables AI/ML and agentic experiences on the platform. You will write secure, high quality code and support algorithms that integrate with existing systems. You will collaborate with senior engineers on designs and implementation choices, focusing on reliability and operational stability. You will help deliver GenAI services using public cloud capabilities. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early stage concepts into scalable, production ready capabilities. You will contribute as a team player who seeks and applies feedback. Job Responsibilities Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges Write secure, high quality production code and maintain algorithms that integrate with existing systems Collaborate with senior engineers and participate in design discussions Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock Collaborate openly with the team, seek feedback, and apply it to improve outcomes Required Qualifications, Capabilities, and Skills Computer science degree or equivalent practical experience Hands on experience with system design, application development, testing, and operational stability Strong understanding of the Software Development Life Cycle Preferred Qualifications, Capabilities, and Skills Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock Proficiency in Python (FastAPI) Experience building microservices and APIs Experience with elastic compute, NoSQL databases, and messaging queues Proficiency working with large language models and building agents with LangGraph Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages, including containerization Knowledge of agent-to-agent (A2A) communication, Model Context Protocol (MCP), AI skills development, personal AI assistants, or agentic orchestrators

JPMorgan Chase & Co. in Bournemouth is seeking a Software Engineer III to design and deliver trusted market-leading technology products in a secure, scalable way. You will work as a seasoned member of an agile team across multiple business functions to support the firm's objectives. The role emphasizes production code, architecture artifacts, data visualization, and secure coding practices, with exposure to AI-assisted development tools and a culture of diversity and inclusion.

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

Be an integral part of a team that's constantly pushing the envelope to enhance, build, and deliver cutting-edge technology products. Join JPMorgan's Liquidity and Account Solutions Technology team and be part of a dynamic group dedicated to delivering innovative technology products. We are seeking motivated Java engineers to enhance our global technology organization, focusing on modern solutions for the Corporate & Investment Bank's Payments business. Our systems manage client liquidity in real-time, supporting cash demands and building a next-generation core wholesale banking platform designed for global scale and rapid response. As a Software Engineer III at JPMorgan Chase within the Liquidity and Account Solutions Technology team, you will be responsible for building and supporting services for our market-leading liquidity business. You will contribute features, enhancements and bug fixes - ensuring our codebase remains modern, well-structured and robust. You will collaborate with colleagues to perform technical analysis of client requirements, participate in estimation, planning, code reviews, architecture design sessions and retrospectives. This role offers the opportunity to learn about liquidity from colleagues, stakeholders and extensive training resources. You will have the chance to grow your skills through our curated technical development programs and dedicated training days. This exciting role provides you with the opportunity to see the direct impact of your contributions on the liquidity business and receive client feedback from around the globe. While banking experience is not required, you must be a passionate and well-rounded technologist, eager to continuously learn and enhance your skills. Job responsibilities Design and develop high-performance, latency-sensitive code, incorporate security requirements and reviewing code written by team members using software engineering best practices Write secure, high-quality code and automated tests Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by code Identify opportunities to eliminate recurring issues to improve overall operational stability of software applications and systems Participate in communities of practice across the group to drive awareness, consistency and adoption of modern technologies Add to team culture of diversity, equity, inclusion, and respect Collaborate effectively as part of a global team Provide technical leadership to small engineering sub-teams focused on the delivery of a small epic by transforming requirements into stories and a build plan Support junior colleagues in their technical growth Provide out of hours application support and coordinate of Production releases Required qualifications, capabilities, and skills Formal training or certification on Java concepts and proficient applied experience. Excellent understanding of Java fundamentals and frameworks (Spring Boot), OO programming paradigms, multi-threading, messaging technologies and computer networks Experience in building high-performance, latency-sensitive Java applications Experience in maintaining and troubleshooting software running in a Linux environment, familiarity with the Linux operating system, system utilities, containers and cloud architectures and services Experience with modern testing tools (JUnit, Mockito, Spring Test Framework) Strong interpersonal and communication skills, with experience working with globally distributed engineers and stakeholders Understanding of the full software development lifecycle and agile approach Hands-on experience with event driven architecture and distributed messaging technologies (Kafka) Preferred qualifications, capabilities, and skills Hands on experience another statically compiled language like Golang, Rust or C++ Experience with gRPC and Google Protocol Buffers Experience with caching technologies, e.g. Redis Experience with infrastructure as code software, e.g. Terraform Experience using and designing schemas/data structures in resilient SQL and NoSQL databases (e.g. CockroachDB) Familiarity with front-end technologies, like ReactJs Certified Kubernetes and public cloud knowledge (e.g. CKAD and AWS certifications) J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Design and deliver market leading products in a secure and scalable way as a seasoned member of an agile team

Software Engineer III, GenAI Data Operations Research, XR corporate_fare Google place London, UK Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience in architecting infrastructure for bulk inference and metadata extraction. Exposure to or direct experience working with human-centric generative pipelines. Proficiency in Python and experience with frameworks for large-scale data processing. Ability to enable end-to-end fine-tuning for foundational GenAI models and optimize them for production environments, including specialized hardware like TPUs. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As a Software Engineer in the GenAI stream, you will architect and scale the critical infrastructure required for GenAI data generation and inference tasks. You will develop production-ready pipelines for at-scale data processing using distributed computing frameworks, run and monitor large-scale deep learning experiments, and leverage JAX to establish end-to-end pipelines for fine-tuning foundational models. Your work will involve delivering synthetic datasets for key Android XR projects, integrating and advancing human-centric generative pipelines. Additionally, you will integrate automated evaluation tools and filtering stages to ensure data diversity and quality, bridging the gap between advanced research and production-ready applications. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. Responsibilities Build scalable infrastructure and modular toolkits for at-scale distributed data processing, GenAI data generation, and metadata extraction. Run, monitor, and scale deep learning experiments across compute clusters, and develop efficient inference pipelines using JAX. Lead high-volume synthetic datasets including metadata deliveries for XR and device projects. Integrate automated evaluation and filtering tools to measure domain gaps and ensure high-quality, photorealistic data. Migrate pipelines to specialized hardware accelerators (like TPUs or GPUs) for efficient production-scale inference. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. 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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.

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.

We are building out the Wholesale Credit Risk Core Platform which will be the software platform for all of Wholesale Credit Risk Technology, providing standardized best-in class deployment strategies, common services and components, controls, testing practices, alerting, and monitoring. As a Front end Software Engineer III at JPMorganChase within the Risk Technology team, you will be a key player in an agile team, tasked with designing and delivering secure, stable, and scalable market leading technology products. Your role involves implementing critical technology solutions across various technical areas within different business functions to support the firm's business objectives. Our primary front end technologies include Javascript, Typescript, and React, which interface with a Spring Boot back end and are deployed to Kubernetes based platforms on both private and public clouds. A significant part of your role will be to ensure that our deployments, conducted via a build server, are efficient and well controlled. 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 Works closely with multiple teams to understand requirements, create solutions which meets business needs for the widest number of teams Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Continuously improves on system stability and efficiency Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and applied experience Hands on practical experience in system design, application development, testing, and operational stability Solid development experience in Javascript, Typescript, React, or similar technologies Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Solid experience with Cloud deployment solutions such as Kubernetes Preferred qualifications, capabilities, and skills Competency in HTML, CSS, SVG, ES6, TypeScript, React, Lodash, NodeJS Experience with build tools such as Nx, and Maven Familiarity with modern front end technologies Exposure to cloud technologies 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.

Be an integral part of a team that constantly pushes the envelope to enhance, build, and deliver cutting edge technology products. Join JPMorgan's Liquidity and Account Solutions Technology team and be part of a dynamic group dedicated to delivering innovative technology products. We are seeking motivated Java engineers to enhance our global technology organization, focusing on modern solutions for the Corporate & Investment Bank's Payments business. Our systems manage client liquidity in real-time, supporting cash demands and building a next generation core wholesale banking platform designed for global scale and rapid response. As a Software Engineer III at JPMorgan Chase within the Liquidity and Account Solutions Technology team, you will be responsible for building and supporting services for our market leading liquidity business. You will contribute features, enhancements and bug fixes - ensuring our codebase remains modern, well structured and robust. You will collaborate with colleagues to perform technical analysis of client requirements, participate in estimation, planning, code reviews, architecture design sessions and retrospectives. This role offers the opportunity to learn about liquidity from colleagues, stakeholders and extensive training resources. You will have the chance to grow your skills through our curated technical development programs and dedicated training days. This exciting role provides you with the opportunity to see the direct impact of your contributions on the liquidity business and receive client feedback from around the globe. While banking experience is not required, you must be a passionate and well rounded technologist, eager to continuously learn and enhance your skills. Job responsibilities Design and develop high-performance, latency-sensitive code, incorporate security requirements and reviewing code written by team members using software engineering best practices Write secure, high-quality code and automated tests Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by code Identify opportunities to eliminate recurring issues to improve overall operational stability of software applications and systems Participate in communities of practice across the group to drive awareness, consistency and adoption of modern technologies Add to team culture of diversity, equity, inclusion, and respect Collaborate effectively as part of a global team Provide technical leadership to small engineering sub-teams focused on the delivery of a small epic by transforming requirements into stories and a build plan Support junior colleagues in their technical growth Provide out of hours application support and coordinate of Production releases Required qualifications, capabilities, and skills Formal training or certification on Java concepts and proficient applied experience. Excellent understanding of Java fundamentals and frameworks (Spring Boot), OO programming paradigms, multi-threading, messaging technologies and computer networks. Experience in building high-performance, latency-sensitive Java applications. Experience in maintaining and troubleshooting software running in a Linux environment, familiarity with the Linux operating system, system utilities, containers and cloud architectures and services. Experience with modern testing tools (JUnit, Mockito, Spring Test Framework). Strong interpersonal and communication skills, with experience working with globally distributed engineers and stakeholders. Understanding of the full software development lifecycle and agile approach. Hands on experience with event driven architecture and distributed messaging technologies (Kafka). Preferred qualifications, capabilities, and skills Hands on experience another statically compiled language like Golang, Rust or C++. Experience with gRPC and Google Protocol Buffers. Experience with caching technologies, e.g. Redis. Experience with infrastructure as code software, e.g. Terraform. Experience using and designing schemas/data structures in resilient SQL and NoSQL databases (e.g. CockroachDB). Familiarity with front-end technologies like ReactJs. Certified Kubernetes and public cloud knowledge (e.g. CKAD and AWS certifications). 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.

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.

United States Digital Space LLC is seeking a skilled software engineer to develop next-generation technologies that enhance user connectivity and interaction. The ideal candidate will contribute to key projects aimed at handling massive information scales and tackling challenges across various domains including mobile and AI. You will be involved in coding, design reviews, and debugging, while ensuring adherence to best practices. This role requires a bachelor's degree and significant experience in software development as well as proficiency in Android application development.

Software Engineer III (Python & C#)Applylocations: Farringdon: United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R113121 Software Engineer III (Python & C#) Excited to architect, build, and elevate complex systems? Do you thrive in solving challenging problems with Python and C#, while driving engineering excellence across teams? About the team: LexisNexis Intellectual Property, with 11,300 employees worldwide and serving customers in more than 150 countries, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. About the role: This position performs moderately difficult research, design, and software development assignments within the LNIP intelligence core platform. Software Engineer III works independently on individual pieces of work and solves moderately complex technical problems, including designing program flow, implementing effective code, performing unit testing, resolving defects, and contributing to system component design and specifications. Key Responsibilities: Create specifications for and develop and maintain a semantic search API. Successfully implement development processes, coding best practices, secure coding standards, unit testing, code coverage expectations, and code reviews. Maintain an internal data curation tool. Use agentic development tools responsibly to accelerate development while maintaining code quality, security, correctness, and maintainability. Requirements: Proficiency in development languages, including but not limited to: Python, C#, .NET, JavaScript, TypeScript, React, and Angular. Proficiency in at least one agentic development tool, including but not limited to: GitHub Copilot, OpenAI Codex, Claude Code, Cursor, or Coder. Familiarity with industry best practices, including agentic code development, secure coding practices, security scans, versioning, unit testing, test-driven development, measuring code coverage, code reviews, and cloud deployment. Proficiency with data manipulation languages, understanding of data modelling principles, and ability to work with complex data models. Knowledge of software development methodologies, including Agile and Waterfall. Knowledge of data query and manipulation languages, including SQL and PySpark. Knowledge of data storage subsystems. Knowledge of vector embeddings of text and their application in intelligent software systems. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. 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 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. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to the employee discounts scheme via Perks at Work About the business - At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavours to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results. 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.