Lead Software Engineer - Java / Python - Equity Derivatives - Front Office Quant Developer
Join us and elevate your software engineering career. You’ll design market-leading technology products that drive innovation in financial services. At JPMorganChase, you’ll collaborate with talented teams, grow your skills, and make a real impact. We value your expertise and offer a dynamic environment where your ideas drive progress. Be part of a team that supports your growth and celebrates your success.
As a Lead Software Engineer in the Markets Technology team, you will design and deliver secure, stable, and scalable technology solutions that support our business objectives. You will work within an agile team, collaborating across functions to create trusted products. You will help shape the architecture and development of complex applications, ensuring high standards and continuous improvement. Your contributions will directly impact our clients and the success of our business.
Job Responsibilities:
- Own production outcomes for critical Equity Derivatives workflows, including monitoring, incident triage, stakeholder communication, mitigation, and root cause follow-through
- Execute software solutions through design, development, testing, release, and technical troubleshooting
- Create secure, high-quality production code and maintain services and integrations with critical systems
- Produce architecture and design artifacts for complex applications, ensuring alignment with design constraints and operational requirements
- Collaborate with front office, operations, and technology teams to gather requirements, define acceptance criteria, and align on product specifications
- Drive user acceptance testing (UAT) planning and execution for changes impacting pricing, booking, and risk, including test strategy, defect triage, evidence collection, and sign-offs
- Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of effective patterns
- Apply knowledge of the Software Development Life Cycle toolchain, including AI-assisted development and automation capabilities, to maximize automation value
- Maintain strong release discipline, including regression assessment, rollback/fallback planning, post-deployment verification, and observability improvements
- Gather and synthesize data and telemetry to develop reporting and metrics that improve stability, quality, and delivery predictability
- Identify hidden failure patterns in production and drive improvements in coding hygiene, system architecture, and operational readiness
Required Qualifications, Capabilities, and Skills:
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
- Strong software engineering fundamentals with hands-on experience across the software development lifecycle, including system design, development, testing, release, and production support
- Proficiency in Python, Java, and JavaScript or TypeScript
- Experience building and supporting production-grade systems
- Experience in large-scale enterprise environments, developing, debugging, and maintaining code and data integrations using modern programming and database querying languages
- Familiarity with engineering frameworks and tooling such as JUnit, Maven, Spring Boot, Spring Data JPA, Spring Batch, and Hibernate
- Demonstrated experience leading effective use of approved AI-assisted software development tools, with the ability to set team expectations for validating AI outputs for correctness, performance, and security
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
- Strong analytical thinking, structured problem solving, and debugging skills
- Excellent communication and stakeholder management skills
- Experience delivering in an Agile environment, managing multiple priorities and projects, and producing clear documentation
Preferred Qualifications, Capabilities, and Skills:
- Formal training or certification in software engineering concepts
- React experience
Skills Required
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
- Strong software engineering fundamentals with hands-on experience across the software development lifecycle
- Proficiency in Python
- Proficiency in Java
- Proficiency in JavaScript or TypeScript
- Experience building and supporting production-grade systems
- Experience in large-scale enterprise environments developing, debugging, and maintaining code and data integrations
- Familiarity with JUnit
- Familiarity with Maven
- Familiarity with Spring Boot
- Familiarity with Spring Data JPA
- Familiarity with Spring Batch
- Familiarity with Hibernate
- Demonstrated experience leading effective use of approved AI-assisted software development tools
- Strong understanding of responsible AI use in engineering workflows
- Strong analytical thinking, structured problem solving, and debugging skills
- Excellent communication and stakeholder management skills
- Experience delivering in an Agile environment, managing multiple priorities and producing clear documentation
- Formal training or certification in software engineering concepts
- React experience
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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