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 Consumer and commercial Banking 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
Own delivery of multi-sprint outcomes: drive work from requirements throughdesign, implementation, testing, documentation, release, and production support, managing dependencies and risks.
Leadservice and API designdecisions (component/service level), including backward compatibility/versioning, performance/scaling basics, caching strategies, concurrency patterns, and reliability tradeoffs.
Set and raise engineering standards for clean code, reviews, testing practices, and maintainable designs ensure consistent adoption across the team.
Drive quality engineering and automation: define test strategy (unit/integration/contract), improve CI/CD safety, strengthen static analysis, and reduce regressions through tooling and process improvements.
Champion operational excellence: improve observability (logs/metrics/traces), define/track reliability signals, lead incident response and RCAs, and implement durability/resiliency enhancements to prevent recurrence.
Embed security, risk & controls into delivery: promote secure coding practices, access control principles, dependency/vulnerability hygiene, correct data handling, and disciplined change management.
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.
Partner with Product, QA, SRE/Production Engineering, Security, and adjacent engineering teams to align on outcomes, communicate tradeoffs, and influence technical direction, while mentoring engineers, supporting hiring/technical evaluation, and driving continuous improvement in team practices.

Required qualifications, capabilities, and skills

5+ years Experience to cloud technologies such asAWS, Azure, and/or GCwith experience building and operating services in cloud environments.
5+ years of experience in least one core language (e.g.,Java, Kotlin, Python, TypeScript) with strong CS fundamentals (DS&A, OO/design, clean coding).
Demonstrated experience designing and building APIs and services, with strong practical knowledge of performance, scaling basics, caching, and concurrency.
Strong testing and delivery discipline: unit/integration/contract testing, CI/CD usage, code review rigor, and automation-first mindset.
Proven operational mindset: observability practices, production support/on-call participation, incident triage, and deep RCA with follow-through improvements.
Strong security and risk/control awareness in a regulated environment (secure coding, access control, dependency hygiene, data handling, change management).
Strong collaboration and communication skills ability to drive alignment and execution across multiple stakeholders.
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

Preferred qualifications, capabilities, and skills

Experience leading technical design reviews and influencing architecture/patterns across services.
Track record of improving reliability and delivery outcomes (e.g., reducing incidents, improving deploy safety, hardening monitoring/alerting, building runbooks).
Mentoring/coaching experience and contribution to hiring processes (interviewer, bar raiser, panelist).

Software Engineer III -Java, AWS/EMR