We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank, Automation & AI Solutions team, you will architect, design, and deliver scalable software products that combine cloud-native microservices, and generative AI/LLM capabilities. You will own key technical decisions, drive engineering best practices, and ensure solutions are secure, reliable, and production-ready.
Job responsibilities:
- Design and develop creative full-stack software solutions using innovative approaches.
- Lead the creation and implementation of AI-driven capabilities, including LLM-based services, orchestration, and integrations into business workflows.
- 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.
- 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.
- Architect and deliver cloud-native microservices and APIs (REST/streaming), ensuring scalability, resilience, and strong security controls.
- Identify and automate solutions for recurring operational issues to improve system stability and observability (logs/metrics/tracing).
- Communicate project status clearly and manage priorities across multiple initiatives.
- Collaborate within a Scrum team, participate in Agile ceremonies, and support a culture of diversity, opportunity, and inclusion.
- Codes in Java, AWS ECS, EKS, and Postgres
- Utilizes AI agents (CoPilot, Claude) to improve quality and delivery timelines
Required qualifications, capabilities, and skills
- Formal training or certification in Software Engineering and 5+ years applied experience
- Strong system design, application development, and operational stability skills in production environments.
- 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.
- Influence product design, application functionality, and technical operations within the team and domain by proposing pragmatic architectures, tradeoffs, and standards aligned to firm SDLC, security, and controls expectations.
- Hands-on experience with Large Language Models (LLMs) and generative AI use cases (e.g., RAG, agents, prompt/tool orchestration, evaluation/guardrails).
- Familiarity with AI/ML frameworks and ecosystems such as PyTorch, TensorFlow, scikit-learn, Hugging Face.
- Experience with distributed systems and at least one major cloud platform (AWS, GCP, or Azure).
- Expertise in microservices, RESTful APIs, and data technologies (relational and/or NoSQL).
- 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.
- Practical experience building cloud-native systems (event-driven architectures, streaming, service mesh, etc.).
Preferred qualifications, capabilities, and skills:
- Cloud certification in AWS, GCP, or Azure.
- Working knowledge of Python (for AI/ML integrations) a plus
- Experience with multi region service deployments and zero downtime deployment
- Familiarity with Docker, Kubernetes, Helm, and modern CI/CD practices.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs
- Strong communication skills and a proactive approach to continuous improvement.
- Track record delivering scalable, reliable, and secure products from concept to launch.
- Advanced Java proficiency (primary), plus working knowledge of Python (for AI/ML integrations) a plus.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Formal training or certification in Software Engineering and 5+ years applied experience
- Proficiency coding in Java and advanced Java skills
- Hands-on experience with AWS ECS and EKS
- Experience with PostgreSQL (Postgres)
- Hands-on experience using enterprise-authorized AI-assisted development tools (e.g., GitHub Copilot, Claude) and ability to validate outputs
- Hands-on experience with LLMs and generative AI use cases (RAG, agents, orchestration, evaluation/guardrails)
- Familiarity with AI/ML frameworks and ecosystems (PyTorch, TensorFlow, scikit-learn, Hugging Face)
- Experience with distributed systems and at least one major cloud platform (AWS, GCP, or Azure)
- Expertise in microservices, RESTful APIs, and data technologies (relational and/or NoSQL)
- Practical experience building cloud-native systems (event-driven architectures, streaming, service mesh)
- Demonstrated ability to lead adoption of AI-assisted engineering practices and set team validation standards (secure coding, testing, peer review)
- Understanding of responsible AI use in engineering workflows, data sensitivity, and secure handling of inputs/outputs
- Experience automating operational issues and improving observability (logs/metrics/tracing)
- Cloud certification in AWS, GCP, or Azure
- Working knowledge of Python for AI/ML integrations
- Familiarity with Docker, Kubernetes, Helm, and modern CI/CD practices
- Experience with multi-region deployments and zero downtime deployment strategies
- Strong communication skills and proactive approach to continuous improvement
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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