Join a dynamic team where your expertise shapes innovative AI products and advances technology solutions. Experience career growth and make a meaningful impact through your contributions.
As a Senior Lead Software Engineer at JPMorgan Chase within the Corporate Sector team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading Agentic AI products in a secure, stable, and scalable way. You drive significant business impact through your capabilities and contributions, applying deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. We value your leadership, technical guidance, and commitment to excellence as you help shape the future of our engineering community.
Job responsibilities
- Provide technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Develop secure and high-quality production code, and review and debug code written by others
- Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
- Drive decisions that influence product design, application functionality, and technical operations and processes
- Serve as a function-wide subject matter expert in one or more areas of focus
- Contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
Required qualifications, capabilities and skills
- Formal training or certification on software engineering concepts and 8+ years applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced skills in one or more programming languages (Java, Python, Golang)
- Advanced knowledge on building AI agents and hands-on experience with one or more Agentic AI frameworks including tool calling, memory, guardrails, and policy enforcement
- Understanding of Model Context Protocol (MCP) concepts and ecosystem
- Strong knowledge on relational and NoSQL databases (PostgreSQL, DynamoDB, MongoDB)
- Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.
- Ability to tackle design and functionality problems independently with little to no oversight
- Practical cloud native experience on AWS with experience in developing highly resilient, low-latency web services architecture
Preferred qualifications, capabilities and skills
- Well versed with MCP specification and ecosystem
- Proficiency with ElasticSearch / Opensearch
- Agentic controls involving Sandboxing, Identity, and security
Skills Required
- Formal training or certification in software engineering concepts
- 8+ years of applied software engineering experience
- Experience delivering system design, application development, testing, and operational stability
- Advanced proficiency in Java, Python, or Golang
- Experience building AI agents and using Agentic AI frameworks, including tool calling, memory, guardrails, and policy enforcement
- Understanding of Model Context Protocol concepts and ecosystem
- Strong knowledge of relational and NoSQL databases, including PostgreSQL, DynamoDB, or MongoDB
- Experience using enterprise-authorized AI-assisted software development tools and validating AI outputs for correctness, performance, and security
- Understanding of responsible AI use, data sensitivity, secure input/output handling, resiliency, and security expectations
- Ability to independently solve design and functionality problems with minimal oversight
- Practical AWS cloud-native experience developing highly resilient, low-latency web services architectures
- Proficiency with Elasticsearch or OpenSearch
- Experience with Agentic AI controls involving sandboxing, identity, and security
- Well-versed knowledge of the MCP specification and ecosystem
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.
-
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.
-
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.
-
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.
Gallery
