Lead Software Engineer

JPMorgan Chase & Co.; Dublin; On-site; EUR 110,000 - 140,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer to drive full-stack delivery in the Employee Platforms group in Dublin. You will lead a team of engineers, shaping architecture, security, and scalable services using React, Java Spring Boot, GraphQL, and AWS.

Collaboration with Product and UX is essential to translate requirements into actionable plans. You will mentor others, enforce coding standards, and advocate for responsible AI-assisted development with strong validation and

Qualifications

• Minimum 7 years of applied full-stack engineering experience with senior/lead responsibilities.
• Strong React expertise with TypeScript and modern patterns.
• Java Spring Boot API development and performance tuning.
• GraphQL schema design, federation, and caching.
• OIDC/OAuth2 implementation and secure sessions.
• Hands-on AWS experience in cloud-native design and deployment.
• CI/CD, automated testing, and AI-assisted tooling adherence.
• Experience leading AI-assisted software development with validated outputs.
• Understanding responsible AI use and secure engineering practices.

Responsibilities

• Lead end-to-end delivery of full stack solutions using React, Java Spring Boot, GraphQL/REST, and AWS services.
• Provide technical leadership, mentorship, and enforce engineering standards.
• Drive architecture reviews, define service boundaries, and API contracts.
• Develop secure, production-grade code with thorough reviews and gating.
• Build highly available, scalable services with observability and incident readiness.
• Govern authentication/authorization using OIDC/OAuth2 and service-to-service security.
• Collaborate with Product and UX to translate requirements into technical plans.
• Promote AI-assisted engineering practices with validation standards and reusable patterns.

Skills

React

Java Spring Boot

GraphQL

REST APIs

OIDC/OAuth2

AWS

CI/CD

AI-assisted engineering

Security practices

Tools

Claude Code / GitHub Copilot

Docker

Terraform/CloudFormation/CDK

ECS/EKS

Kafka / MSK

Job description

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.