Lead Software Engineer - Java/AWS/Kafka

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 Consumer and Community Banking, you’ll be a key technical leader on an agile team building secure, stable, scalable back-end platforms. You’ll shape designs, write production code, and guide delivery across teams to solve meaningful business problems with modern engineering practices.

Job responsibilities

• Lead the design and delivery of distributed, event-driven back-end services (Java, Kafka, AWS), from concept through production support
• Set architecture direction and standards for scalability, reliability, and observability across services
• Partner with product, architecture, and platform teams to turn requirements into resilient designs and executable roadmaps
• Raise engineering quality through strong CI/CD, automated testing, code reviews, and operational readiness (SLIs/SLOs, on-call)
• Own production operations for critical services (monitoring, incident response, root-cause analysis, and continuous improvement)
• Drive data modeling and API design for high-throughput, low-latency systems, including backward compatibility and schema evolution
• Mentor engineers through design reviews, pair programming, coaching, and technical guidance

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Expert proficiency in Java (Java 17+), including concurrency, collections, and performance tuning/profiling
• Hands-on experience building and operating distributed systems with Apache Kafka (e.g., partitions/consumer groups, exactly-once semantics, schema management)
• Strong AWS experience and infrastructure-as-code (e.g., ECS/EKS, Lambda, API Gateway, RDS, S3, KMS, IAM, CloudWatch; Terraform or CloudFormation)
• Strong grasp of event-driven and microservices architecture, REST APIs, and asynchronous messaging patterns
• Proven experience implementing CI/CD, automated testing, and safe deployment strategies (e.g., blue/green or canary)
• Solid reliability and observability fundamentals (e.g., retries/idempotency/timeouts; logs/metrics/tracing)
• Experience leading projects/teams, setting technical direction, and delivering complex production systems
• Experience working in Agile/Scrum (or similar)

Preferred qualifications, capabilities, and skills

• End-to-end delivery experience from scope through launch, including cross-team coordination
• Experience with Spring Boot/Spring Cloud, Micrometer, and reactive programming (Project Reactor)
• Familiarity with modern security practices (OAuth2/OIDC, mTLS, secrets management, least-privilege IAM, threat modeling)
• Experience with high-throughput systems and stream processing (Kafka Streams and/or Spark), including exactly-once patterns
• Exposure to DDD and modern architecture patterns (hexagonal/clean architecture)
• Hands-on use of observability/production tooling (e.g., Splunk, Dynatrace, Grafana)