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As a Lead Software Engineer at JPMorgan Chase within the Consumer and community banking 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
- Design, develop, and maintain backend services for AI and Agentic AI applications using Python.
- Build and integrate agentic frameworks (Langgraph, Langchain, Autogen, Google ADK) to enable autonomous and intelligent marketing solutions.
- Collaborate with data scientists, product managers, and MarTech stakeholders to understand requirements and deliver robust solutions.
- Develop APIs and microservices to support AI-driven marketing workflows, personalization, and automation.
- Ensure scalable, secure, and reliable deployment of applications on AWS.
- Write clean, maintainable, and well-documented code following best practices.
- Participate in code reviews, architecture discussions, and continuous improvement initiatives.
- Monitor, troubleshoot, and optimize application performance in production environments.
- Stay up-to-date with the latest advancements in AI, agentic frameworks, and MarTech trends.
- 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 Java concepts and 3+ years applied experience.
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- 2+ years of experience in backend software development with Python.
- 2+ years of experience with RESTful APIs, microservices architecture, and cloud-native development.
- Min 1 years of hands-on experience with agentic AI frameworks such as Langgraph, Langchain, Autogen, or Google ADK.
- Experience deploying and managing applications on AWS (EC2, Lambda, S3, etc.).
- Exposure to CI/CD pipelines and DevOps practices on AWS.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration abilities.
- 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.
Preferred qualifications, capabilities, and skills
- Experience in MarTech or AdTech domains.
- Knowledge of data engineering, analytics, or ML model deployment.
Skills Required
- Formal training or certification on Java concepts and 3+ years applied experience.
- Hands-on practical experience delivering system design, application development, testing, and operational stability.
- 2+ years of experience in backend software development with Python.
- 2+ years of experience with RESTful APIs, microservices architecture, and cloud-native development.
- Minimum 1 year hands-on experience with agentic AI frameworks (Langgraph, Langchain, Autogen, Google ADK).
- Experience deploying and managing applications on AWS (EC2, Lambda, S3, etc.).
- Exposure to CI/CD pipelines and DevOps practices on AWS.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration abilities.
- Hands-on experience using enterprise-authorized AI-assisted software development tools with ability to validate AI-generated outputs.
- Understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling of inputs/outputs.
- Experience in MarTech or AdTech domains.
- Knowledge of data engineering, analytics, or ML model deployment.
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 comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
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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