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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.

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

The Chief Technology Office oversees enabling components inclusive of the top quality engineering and architecture tools and practices, key program management and processes as well as the technology workforce strategy required to make us a leading technology company for our customers, clients and colleagues around the world.

High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.

Lead Software Engineer

Job Description