As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank, Post-Trade Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Designs and builds production-grade agentic AI systems including LLM orchestration layers, RAG pipelines, vector databases, and MCP-based tool integrations
- Develops and reviews secure, high-quality code and debugs solutions written by team members or generated by AI models
- Architects multi-agent and single-agent setups, authors skill files, and writes
technical RFCs for new AI capabilities - Contributes to cloud-native deployments (AWS ECS), CI/CD pipelines, and infrastructure modernisation alongside platform engineering squads
- Builds and iterates on agentic patterns — multi-hop agents, vector search, automated
code generation — from POC through UAT to full production rollout - Translates regulatory operations and business requirements into precise technical designs and delivers against quarterly commitments
- Identifies opportunities to automate recurring operational issues, reducing manual toil and improving platform stability
- Participates actively in sprint ceremonies, code reviews, and architecture discussions as a senior technical contributor
- Contributes to an internal developer productivity accelerator as a technical mentor and active builder across 10+ cross-functional teams
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- 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.
- Formal training or certification on software engineering concepts and 5+ years of applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced proficiency in Python; strong object-oriented programming fundamentals
- Proven experience building and deploying LLM-based or agentic AI systems in production
- Deep understanding of RAG architecture, vector databases, and AI agent frameworks (e.g., LangGraph, MCP) Proficiency in automation and continuous delivery methods (CI/CD, DevSecOps)
- Proficient across all phases of the Software Development Life Cycle. Advanced understanding of agile methodologies and application resiliency patterns
- Practical cloud-native experience on AWS (ECS, Lambda, S3 or equivalent)
- Strong analytical and problem-solving skills with ability to break down complex
technical problems independently - Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) 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 considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practice
Preferred Qualifications, Capabilities, and Skills
- Experience with post-trade financial platforms (e.g., Athena, Quartz, SecDB)
- In-depth knowledge of financial services industry IT systems, trade reconciliation and regulatory reporting workflows
- Experience with AI / ML / Vibe coding and agentic development workflows
- Knowledge of distributed computing, data modeling, and performance engineering
- Familiarity with data lineage, data contracts, and data governance frameworks
- Experience with ServiceNow, Jira, or Confluence API integrations
- Regression testing and observability tooling experience in large-scale platforms
Skills Required
- Formal training or certification in software engineering concepts
- 5+ years of applied software engineering experience
- Experience delivering system design, application development, testing, and operational stability
- Advanced proficiency in Python and object-oriented programming
- Production experience building and deploying LLM-based or agentic AI systems
- Deep understanding of RAG architecture, vector databases, and AI agent frameworks such as LangGraph and MCP
- Proficiency in automation, CI/CD, and DevSecOps
- Experience across the software development lifecycle and advanced agile methodologies
- Experience with application resiliency patterns
- Cloud-native experience with AWS, including ECS, Lambda, S3, or equivalent
- Strong analytical and independent problem-solving skills
- Experience leading approved AI-assisted software development tools for coding, code review, testing, and troubleshooting
- Understanding of responsible AI, data sensitivity, secure input/output handling, resiliency, and security expectations
- Experience coaching engineers on safe and compliant AI adoption
- Experience with post-trade financial platforms such as Athena, Quartz, or SecDB
- Knowledge of financial services IT systems, trade reconciliation, and regulatory reporting workflows
- Experience with AI, ML, vibe coding, and agentic development workflows
- Knowledge of distributed computing, data modeling, and performance engineering
- Familiarity with data lineage, data contracts, and data governance frameworks
- Experience with ServiceNow, Jira, or Confluence API integrations
- Regression testing and observability tooling experience in large-scale platforms
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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