Lead Software Engineer-Java​/SpringBoot​/AWS

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As a Lead Software Engineer - Java/Spring Boot/AWS at JPMorgan Chase within the Corporate Technology's Consumer and Community Banking Risk Decision 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.

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high‑quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes‑oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading‑edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands‑on experience leading system design, application development, testing, deployment, and production operational stability in mission‑critical environments
• Advanced proficiency in Java (Java 17+) with Spring Boot, including writing thread‑safe, highly concurrent code on the JVM
• Proven experience building cloud‑native Java microservices and large‑scale distributed systems supporting both real‑time and batch processing
• Deep expertise across the full Software Development Life Cycle (SDLC), from design and development through release, monitoring, and support

  Strong command of CI/CD, automation, application resiliency, and security, with a focus on continuous delivery and production excellence

• Extensive experience with event‑driven architectures and distributed messaging platforms such as Kafka
• Practical, hands‑on experience running production workloads on AWS, leveraging services such as EKS, ECS, S3, ALB/NLB, Dynamo
  
  DB, and Aurora
• Advanced containerization and orchestration experience using Docker and Kubernetes in high‑availability production environments
• Proficiency with SQL and No
  
  SQL databases (e.g., Oracle, Postgre
  
  SQL, Dynamo
  
  DB) and performance tuning at scale
• Strong experience with infrastructure as code (Terraform) and observability tooling including Grafana, Splunk, Dynatrace, Datadog, and Cloud Watch

• Experience with Databricks and large‑scale data processing platforms
• Exposure to mobile technologies and mobile application development ecosystems
• Hands‑on experience applying machine learning concepts in production systems
• Familiarity with advanced SQL and No
  
  SQL databases such as Cockroach
  
  DB and Cassandra
• Experience working with data‑intensive or analytics‑driven applications
• Knowledge of AI/ML frameworks or cloud‑native data services
• Background in modern data architectures supporting real‑time decisioning