Lead Software Engineer - Java Python AWS

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what’s possible.

As a Lead Software Engineer at JPMorgan Chase within the Engineer Services Platform (ESP) in the Chief Technology Office (CTO), you are an integral part of an agile team that builds and operates a core capability in the firm’s artifact engineering ecosystem that enables secure, stable, and scalable consumption of open source software. As a core technical contributor, you will lead critical technology solutions that optimize open source software usage across the firm by strengthening governance controls and delivering actionable transparency through usage and compliance health metrics (per internal open source governance documentation).

Job Responsibilities

• Design and build highly available, distributed backend services with clear tradeoff analysis (latency, throughput, consistency, resiliency).
• Own end-to-end delivery of APIs and microservices, including design, implementation, testing, deployment, and runtime support.
• Apply strong problem-solving, data structures, and algorithmic thinking to deliver efficient solutions (time/space complexity awareness).
• Build and operate messaging, caching, and asynchronous processing patterns (e.g., eventing, queues/streams) to improve performance and scalability.
• Implement cloud-native solutions on AWS, including containerized deployments and orchestration for reliable operations.
• Establish strong observability practices (logging, metrics, tracing, alerting) and drive production stability through operational automation.
• Conduct technical design reviews, code reviews, and debugging; raise engineering standards through best practices and documentation.
• Collaborate with product, architecture, and partner teams to deliver secure, compliant, and maintainable platform capabilities.
  
  

• 5+ years of applied experience in software engineering with hands-on ownership of production systems.
• Strong problem solving, data structures, and ability to reason about algorithmic efficiency (time and space complexity).
• Strong hands-on development experience in Java and/or Python, and working proficiency with JavaScript.
• Strong system design skills for distributed systems (scalability, resiliency, failure modes, tradeoffs).
• Hands-on experience designing and building REST/JSON APIs, microservices, and service-to-service integrations.
• Experience with messaging/event-driven patterns and caching strategies in distributed architectures.
• Strong AWS knowledge (core services, networking basics, security/IAM fundamentals, deployment patterns).
• Hands-on experience with containers and container orchestration (e.g., Kubernetes/ECS concepts).
• Practical experience implementing observability and operating services in production (monitoring, alerting, incident triage).
• Strong understanding of SDLC, secure coding, testing strategy, and CI/CD practices.
  
  

• Strong database fundamentals including SQL and one or more NoSQL technologies.
• Exposure to data engineering concepts such as ETL/ELT, batch vs streaming, and basic pipeline design.
• Familiarity with distributed data systems and performance tuning (query optimization, caching, load testing).
• Experience building developer platforms/shared services used by multiple teams.