Lead Software Engineer - Java​/React

Job Description

This is an exciting opportunity for you to join a talented team of engineers and make a global impact. As a Lead Software Engineer, you’ll help shape market‑leading technology products that advance our business and deliver trusted solutions worldwide. You’ll collaborate with passionate professionals, solve complex problems, and grow your career in a supportive, innovative environment. We value your expertise, creativity, and commitment to teamwork.

As a Lead Software Engineer at JPMorgan Chase in Enterprise Observability Platforms, you will develop strategic software products critical to business advancement. You will lead an agile team, enhance and deliver secure, stable, and scalable technology solutions, and contribute across multiple technical areas. Your role will involve driving innovation, applying software engineering best practices, and fostering a culture of diversity, equity, inclusion, and respect.

Together, we’ll deliver solutions that support the firm’s business objectives.

• Execute creative software solutions across design, development, and advanced technical troubleshooting, think beyond routine approaches to build solutions and break down complex technical problems.
• Lead the migration from a legacy monolith to a modern, containerized microservices architecture (React/Java/Spring Boot), including decomposition strategy, domain modeling, and data migration planning.
• Re‑architect existing infrastructure to achieve high scalability, reliability, and availability (multi‑AZ/region patterns, autoscaling, HA/DR).
• Deliver full‑stack features end‑to‑end, build backend services and APIs (REST/Graph
  
  QL) in Java/Spring Boot and contribute to operational UIs/console experiences as needed.
• Design and implement event‑driven systems and streaming‑based alerting workflows (e.g., Kafka), including sound topic/schema design and resilient consumer strategies.
• Build and evolve secure, high‑quality production services; review, debug, and improve code written by others to raise engineering standards.
• Drive performance, resiliency, and scalability improvements for firmwide alerting and event routing; instrument SLOs/SLIs and optimize p99 latency and throughput. Collaborate cross‑LOB with product, application teams, SRE/operations, and controls to ensure reliable adoption and effective incident response.
• Explore and evaluate AI for Ops approaches with partners across SRE and observability. Drive POCs and data‑driven adoption where appropriate.
• Lead evaluation and architecture discussions with internal teams (and vendors when applicable) to assess designs, technical credentials, and fit within enterprise architectures. Contribute to communities of practice to promote awareness and adoption of modern engineering and observability practices.
• Add to a team culture of diversity, opportunity, inclusion, and respect.

• Significant professional software engineering experience, including leading cross‑team initiatives (Lead level).
• Hands‑on experience delivering system design, application development, testing, and operational stability for distributed systems.
• Advanced proficiency in Java and building microservices with Spring Boot, strong system design expertise.
• Full‑stack engineering mindset with the ability to work across backend and UI layers as needed (backend‑heavy).
• Proficiency in automation and continuous delivery methods; experience implementing CI/CD pipelines.
• Proficient across the Software Development Life Cycle (SDLC): requirements, design, coding, testing, deployment, and support.
• Advanced understanding of agile methodologies and practices, including CI/CD, application resiliency, and security.
• Cloud‑native experience deploying containerized microservices in cloud.
• Working knowledge of relational databases (Oracle).

• Proficiency with Kubernetes (e.g., EKS) for container orchestration and operations.
• Proficiency with event‑streaming platforms (e.g., Kafka) and event‑driven architectural patterns.
• Experience designing and operating distributed systems at scale (microservices,…