As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank - Digital & Platform Services 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 deliver scalable, secure, and resilient full-stack solutions using Java/Spring Boot, React, and TypeScript, applying strong engineering judgment to meet functional and non-functional requirements while solving complex business and technical challenges.
- Own the end-to-end delivery lifecycle for strategic platform capabilities and application features, including requirements analysis, solution design, development, testing, deployment, production support, and continuous improvement.
- Lead the design and development of cloud-native, containerized microservices and platform services, emphasizing domain-driven design, API-first development, performance optimization, security, maintainability, and operational excellence.
- Drive technical architecture and design decisions across the technology stack, collaborating with product managers, architects, and engineering teams to ensure alignment with enterprise architecture standards and long-term technology strategies.
- Build and enhance high-performance backend services and APIs (REST/GraphQL), integrating with enterprise platforms, relational databases, search technologies, and distributed data systems.
- Develop modern operational and administrative user interfaces using React and TypeScript, delivering intuitive experiences that improve platform usability, productivity, and supportability.
- Design and implement event-driven and streaming architectures leveraging Kafka, including event modeling, schema governance, topic strategy, and resilient producer-consumer patterns to enable scalable and loosely coupled systems.
- Champion engineering excellence through code reviews, troubleshooting, refactoring, performance tuning, and mentoring, while raising quality standards across the team.
- Lead initiatives to improve application reliability, observability, and operational stability through automation, proactive monitoring, distributed tracing, incident management, root cause analysis, and continuous reduction of technical debt.
- Leverage enterprise-approved AI-assisted engineering tools and platforms to accelerate software delivery, improve developer productivity, automate repetitive tasks, and enhance code quality while adhering to established governance, security, and validation practices.
- Evaluate, design, and implement AI-powered and agentic solutions that optimize software development, operational workflows, system support, and engineering processes, ensuring measurable business and productivity outcomes.
- Formal training or certification on software engineering concepts and 5+ years applied experience
- 10+ years of hands-on software engineering experience building and supporting enterprise-scale applications.
- Strong expertise designing and developing backend services using Java, Spring Boot, distributed systems, and microservice architectures.
- 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 practices
- Hands-on experience building and consuming APIs using REST and/or GraphQL.
- Strong experience with relational databases, SQL optimization, and data access patterns.
- Experience implementing event-driven and streaming architectures using Kafka or equivalent messaging platforms.
- Experience building modern frontend applications using React and TypeScript.
- Experience with observability and operational tooling such as Splunk, Grafana, Kibana, ELK, OpenTelemetry, Postman, or equivalent platforms.
- Proficiency with modern engineering tooling including Git, GitHub, Maven, Jenkins, SonarQube, IntelliJ IDEA, VS Code, Jira, and Confluence.
- Working knowledge of Python with experience using Python for automation, data processing, or AI-enabled solutions is highly desirable
- Experience designing and deploying AI agents and agentic workflows for software engineering, operations, or business process automation.
- Understanding of Model Context Protocol (MCP) and modern AI integration patterns.
- Knowledge of prompt engineering techniques, AI workflow design, and human-in-the-loop systems.
- Experience creating agentic automations that improve SDLC productivity, testing, code reviews, documentation generation, CI/CD operations, or incident management.
- Demonstrated ability to establish governance, validation, and quality controls for AI-generated code and solutions.
- Working knowledge of Elasticsearch/OpenSearch, including index design, query optimization, and operational management.
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 concepts
- At least 5 years of applied software engineering experience
- At least 10 years of hands-on software engineering experience building and supporting enterprise-scale applications
- Expertise with Java, Spring Boot, distributed systems, and microservice architectures
- Experience leading the use of approved AI-assisted software development tools
- Understanding of responsible AI use, data sensitivity, secure input/output handling, resiliency, and security practices
- Experience building and consuming REST and/or GraphQL APIs
- Experience with relational databases, SQL optimization, and data access patterns
- Experience implementing event-driven and streaming architectures using Kafka or equivalent messaging platforms
- Experience building frontend applications using React and TypeScript
- Experience with observability and operational tools such as Splunk, Grafana, Kibana, ELK, OpenTelemetry, or Postman
- Proficiency with Git, GitHub, Maven, Jenkins, SonarQube, IntelliJ IDEA, VS Code, Jira, and Confluence
- Working knowledge of Python for automation, data processing, or AI-enabled solutions
- Experience designing and deploying AI agents and agentic workflows
- Understanding of Model Context Protocol and modern AI integration patterns
- Knowledge of prompt engineering, AI workflow design, and human-in-the-loop systems
- Experience creating agentic automations for SDLC productivity, testing, code reviews, documentation, CI/CD, or incident management
- Ability to establish governance, validation, and quality controls for AI-generated code and solutions
- Working knowledge of Elasticsearch or OpenSearch, including index design, query optimization, and operational management
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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