Join a market-leading Margin & Collateral Services team within the CIB (Commercial & Investment Bank) and build modern, cloud-ready platforms that power critical post‑trade and collateral workflows. We’re looking for a high-impact, deeply hands-on, and delivery-focused Java engineer with 8+ years of experience who thrives in complex domains, loves turning ambiguity into elegant solutions, and enjoys partnering with stakeholders to drive meaningful business outcomes.
You’ll work in an Agile environment, using modern engineering practices and AI-enabled developer tools to accelerate delivery and improve quality, while applying cost-effective & responsible AI practices throughout.
Job responsibilities
- Design, build, and own backend services for complex, high-throughput systems.
- Partner with product, operations, and technology stakeholders to clarify requirements, shape solutions, and influence decisions through strong communication.
- Engineer scalable, resilient Spring Boot microservices with a focus on performance, stability, observability, and operability.
- Lead architecture and engineering best practices: clean code, automated testing, code reviews, CI/CD, and continuous improvement.
- Apply AI-enabled developer tools responsibly to enhance engineering productivity and quality (e.g., accelerating coding, testing, documentation, and analysis workflows).
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and advanced applied experience.
- Strong Java expertise through Java 21, including modern language features and best practices, building and designing complex applications.
- Extensive experience building Spring Boot microservices and designing for scalability, resilience, and maintainability.
- Experience working in modern distributed systems environments, with exposure to technologies such as Apache Kafka and Cassandra (NoSQL); plus working knowledge of React JS.
- Hands-on experience with cloud platforms (e.g., AWS, Cloud Foundry) and cloud-native engineering practices.
- Strong problem-solving skills with ability to translate ambiguous business requirements into high-quality technical solutions.
- Excellent communication and stakeholder management skills, including influencing across teams to drive optimal outcomes.
- Passion for applying AI to software engineering workflows, with awareness of responsible usage and risk considerations.
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.
Skills Required
- Formal training or certification in software engineering concepts
- Advanced applied software engineering experience
- Strong Java expertise through Java 21, including modern language features and best practices
- Experience building and designing complex applications
- Extensive experience building Spring Boot microservices
- Experience designing scalable, resilient, and maintainable systems
- Experience with modern distributed systems environments
- Exposure to Apache Kafka
- Exposure to Cassandra and NoSQL technologies
- Working knowledge of React JS
- Hands-on experience with cloud platforms such as AWS or Cloud Foundry
- Experience with cloud-native engineering practices
- Strong problem-solving skills and ability to translate ambiguous business requirements into technical solutions
- Excellent communication and stakeholder management skills
- Experience using enterprise-authorized AI-assisted software development tools
- Ability to evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
- Understanding of responsible AI use, data sensitivity, secure input and output handling, and resiliency and security expectations
- Ability to guide peers on safe and effective AI-assisted engineering practices
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 — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
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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