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 JPMorganChase within the Employee Platforms, 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.
Job responsibilities
- Leads end-to-end delivery of full stack solutions using React, Java Spring Boot, GraphQL/REST, and AWS-managed services, from design through production support.
- Technical Leadership: Lead and mentor a team of software engineers, setting technical direction, best practices, and coding standards across the organization, with a focus on Java-based, cloud-first, and API-first engineering principles.
- Drives architecture and design reviews, defining service boundaries, API contracts, data models, and integration patterns.
- Develops secure, high-quality, production-grade code; conducts thorough code reviews; sets and enforces engineering standards.
- Builds and maintains highly available and scalable services with strong operational excellence: reliability, performance, cost awareness, and maintainability.
- Implements and governs authentication/authorization using OIDC/OAuth2, token validation, scopes/claims, and service-to-service security patterns.
- Establishes robust observability practices (structured logging, metrics, tracing), incident response readiness (runbooks).
- Evaluates vendor and internal solutions (including architectural fit, security posture, scalability, and operability) and guides adoption decisions.
- Partners with Product and UX to deliver outcomes; translates requirements into technical plans and milestones; proactively manages trade-offs.
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
Required qualifications, capabilities, and skills
- Minimum 7 years of applied full-stack engineering experience delivering and operating production systems, with senior/lead responsibilities (technical leadership, design ownership).
- Strong React expertise (modern patterns, TypeScript, state management, component design systems, performance optimization, responsive UI).
- Java Spring Boot expertise (API development, dependency injection, validation, error handling, performance tuning).
- GraphQL proficiency (schema design, resolvers, federation/composition, query performance, caching, governance/versioning).
- REST proficiency (OpenAPI contract design, pagination/filtering, idempotency, backward compatibility, consumer-driven evolution).
- OIDC/OAuth2 implementation (JWTs, token flows, scopes/claims, secure sessions, least-privilege access control).
- Hands-on AWS experience (cloud-native design/deployment, IAM, networking basics, logs/metrics/alarms).
- Data and event-driven expertise: Aurora PostgreSQL (advanced SQL, indexing, optimization, migrations, transactions), Neptune (graph modeling, Gremlin, performance), and Kafka/MSK (topics, partitions, consumer groups, schema evolution, ordering, idempotency, retries/DLQs, monitoring).
- CI/CD, quality, and AI-assisted engineering (Git best practices, automated testing, quality gates, release strategies; MUST: proficiency with Claude Code/GitHub Copilot for development, debugging, testing, and documentation with strong validation, security, and maintainability practices)
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Preferred qualifications, capabilities, and skills
- Infrastructure as Code (Terraform/CloudFormation/CDK) and deployment automation patterns.
- Containerization and orchestration experience (Docker, ECS/EKS) depending on platform direction.
- Advanced security practices: threat modeling, OWASP Top 10 mitigation, secrets management, dependency hygiene.
- Experience defining platform standards: API governance, event contracts, service templates, and reliability SLOs/SLIs.
- Prior experience integrating with Oracle HCM.