We’re seeking an experienced and highly skilled engineering leader to drive the architecture, delivery, and operational excellence of platforms that power JPMorgan’s Alternative Investments business.
As a Senior Lead Software Engineer at JPMorgan Chase within the Asset and Wealth Management line of business, you will set technical direction, lead teams, and partner closely with product, architecture, controls, and business stakeholders to deliver secure, scalable, and resilient systems for a portfolio that spans over $170bn in assets and 300+ fund investments across private equity, growth equity & venture capital, private credit, private real estate, and private infrastructure.
Job responsibilities
- Lead and actively contribute to the design, development, and deployment of high-quality applications aligned to the Alternatives business.
- Build event-driven Java, Spring Boot microservices; contribute directly to the codebase.
- Architect and operate scalable systems leveraging Kafka, k8s, MSK and AWS services.
- 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 program collaboration across cross-functional teams.
- Lead and participate in code reviews; enforce high maintainability through TDD/BDD practices.
- Validate service scalability and resilience using mock testing frameworks and performance testing strategies.
- Mentor and develop junior engineers, fostering a collaborative, growth-oriented culture.
- Add to team culture of diversity, opportunity, inclusion, and respect.
Required qualifications, capabilities, and skills
- Formal training or certification on Software Engineering concepts and 5+ years applied experience.
- Proven experience leading technologists to manage and solve complex technical items within your domain of expertise
- 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.
- Advanced proficiency in Java with strong willingness to code hands-on.
- Extensive experience delivering Java and Spring/Spring Boot systems at scale.
- Strong experience with CI/CD, DevOps toolchains, and agile, test-driven delivery.
- Expert proficiency in testing frameworks like JUnit, TestNG, and Cucumber.
- Deep understanding of microservices, REST APIs, SQL and NoSQL databases, event-driven architectures.
- Demonstrated ability to mentor, coach, and grow engineering talent.
Preferred qualifications, capabilities, and skills
- Hands-on experience with AWS cloud services (e.g. ECS, S3, Lambda) and proficiency in Infrastructure as Code (IaC) using Terraform.
- Familiarity with full-stack application development.
- Experience with AI coding tools like GitHub Copilot, Cline, Claude Code.
- Proven ability to solve complex problems; excellent communication and leadership skills.
- Continuous learner and early adopter of emerging technologies and practices.