Sr. Lead Software Engineer - Java​/Back-End

When you mentor and advise multiple agile technical teams and move financial risk technologies forward, it’s a big challenge with big impact. Join our team and be an integral part of our agile organization to deliver the best risk solutions for the firm. As a Senior Lead Software Engineer at JPMorgan Chase within Consumer & Community Banking, 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.

Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Lead the architecture, design, and development of Java/Spring‑based framework APIs and shared components that enable rapid, secure service development across multiple LOBs.
• 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.
• Build low‑latency, high‑throughput APIs and event‑driven systems optimized for extreme transaction volumes and near‑zero downtime.
• Profiling, identifying, and optimizing existing code—including code developed by other team members.

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Experience with strong architecture, design patterns, engineering best practices,analysis, design, security fundamentals, secure coding practices, and code review skills for internet applications.
• Experience with unit, integration, contract testing; experience with test automation frameworks and pipelines (JUnit, Mockito, Spring Test).
• Expertise in underlying third‑party SDKs/components and protocols: AWS SDKs, HTTP connections, IBM MQ, Kafka, Cassandra, Oracle, GraalVM, TLS 1.3.
• Proficiency in service development using REST and SOAP, strong API design fundamentals; JSON/XML messaging and SOA.
• Knowledge of Databases andData access frameworks like MyBatis, Hibernate, Oracle, Cassandra, Cockroach DB.
• Ability to build with cloud‑native microservices at scale: with Kubernetes/Docker/EKS, service discovery, configuration management; AWS services including NLB, ALB, SQS, Redis, S3, Route 53, API/NAT Gateways, Secrets Manager, IAM, VPC;
  IaC with Terraform and Cloud Formation.
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work…