About The Role

As a Software Engineer III at JPMorganChase within the Commercial & Investment Bank Technology organization, you will be a core technical contributor on an agile team delivering secure, stable, and scalable technology products that support critical business and client outcomes. You will contribute to system design and engineering execution across backend and distributed systems and modern UI/console experiences, improving operational excellence through automation, strong software development lifecycle discipline, and responsible use of enterprise-authorized AI-assisted engineering tools.

Join a team where your engineering contributions directly impact how we serve clients and drive innovation at scale. At JPMorganChase, you will have the opportunity to grow your career, build meaningful solutions, and collaborate with talented technologists who are passionate about delivering excellence.

Job responsibilities

Design and deliver robust full-stack solutions using Java/Spring Boot and React/TypeScript, applying sound engineering judgment to meet non-functional requirements including security, resiliency, and performance, and delivering iterative improvements for product teams
Partner closely with product and UX to understand requirements, refine designs, and deliver intuitive, accessible, and consistent user experiences
Contribute to end-to-end delivery of features across the software development lifecycle including requirements, design, coding, testing, deployment, and production support, with clear accountability for your outcomes
Build secure, high-quality, production-ready UI using React, HTML, and CSS, leveraging reusable components, patterns, and libraries for consistency and speed
Develop backend services and APIs integrating with relational databases and enterprise systems, applying sound data design and SQL practices, and contribute to architecture and design artifacts (e.g., technical designs, diagrams, architecture decision records) ensuring implementation aligns with design constraints and architecture standards
Contribute to event-driven and streaming architectures using Kafka, including topic design, schema/contract strategy, and resilient producer/consumer patterns
Support containerized service delivery and operational readiness using Kubernetes, and contribute to CI/CD pipelines and automation
Build and support scheduled and background processing (e.g., scheduled jobs and batch processing such as Spring Batch) where applicable to platform capabilities
Support operational stability and reliability by contributing to incident response and root cause analysis, analyzing diverse datasets, logs, and telemetry to identify patterns, build visualizations and reporting, and reduce repeat incidents via preventative controls, automation, and enhanced observability
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
Hands-on experience in system design, application development, testing, and operational stability in a large corporate environment, including event-driven architectures and streaming patterns (Kafka)
Proficiency in Java and building services with Spring Boot, and strong expertise in React with TypeScript to build robust, maintainable frontend applications; strong UI fundamentals with HTML/CSS and responsive design, including experience building reusable components and libraries
Experience building and consuming APIs (REST and/or GraphQL) and integrating with downstream systems
Strong experience with relational databases including Oracle and/or PostgreSQL, with solid SQL skills; experience with caching patterns and technologies (e.g., Redis) to improve performance and scalability
Proficiency in software testing practices (unit, integration, and/or UI testing) to ensure quality and reliability, and active participation in code reviews and constructive feedback practices that promote continuous improvement
Familiarity with the full software development lifecycle and agile practices, including CI/CD, and hands-on experience with CI/CD pipelines (e.g., Jenkins) and containerized deployment and operations using Kubernetes
Experience building and supporting scheduled jobs and batch processing workloads (e.g., Spring Batch or equivalent patterns)
Working knowledge of search/indexing concepts, including designing and querying Elasticsearch indexes
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

Working knowledge of Python for scripting, automation, or service development
Experience with .NET, including building and supporting enterprise services and the ability to work across multiple technology stacks
Knowledge of agentic frameworks such as Google ADK or LangChain
Familiarity with monitoring, tracing, and troubleshooting tools such as log aggregation platforms, API testing tools, and observability dashboards