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 through design, implementation, testing, documentation, release, and production support, managing dependencies and risks.
- Lead service and API design decisions (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 as AWS, Azure, and/or GC with 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).
Skills Required
- 5+ years experience with cloud technologies such as AWS, Azure, and/or Google Cloud, building and operating services in cloud environments
- 5+ years experience in at least one core language (e.g., Java, Kotlin, Python, TypeScript) with strong CS fundamentals (data structures & algorithms, OO/design, clean coding)
- Demonstrated experience designing and building APIs and services with knowledge of performance, scaling, caching, and concurrency
- Strong testing and delivery discipline (unit/integration/contract testing, CI/CD, code review rigor, automation-first mindset)
- Proven operational mindset including observability practices, production support/on-call participation, incident triage, and RCA follow-through
- Strong security and risk/control awareness in a regulated environment (secure coding, access control, dependency hygiene, data handling, change management)
- Hands-on experience using enterprise-authorized AI-assisted software development tools and ability to validate and refine AI-generated outputs
- Understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling of inputs/outputs
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies, CI/CD, application resiliency, and security
- Experience leading technical design reviews and influencing architecture/patterns across services
- Track record of improving reliability and delivery outcomes (reducing incidents, improving deploy safety, hardening monitoring/alerting, building runbooks)
- Mentoring/coaching experience and contribution to hiring processes (interviewer, bar raiser, panelist)
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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