Software Engineer III-Full Stack
Software Engineering
Dublin, Ireland
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorganChase within the Employee Platform Business, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out 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.
- 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.
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
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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 4+ years of full-stack engineering experience delivering and operating production systems, with senior/lead exposure (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 practices; MUST: proficiency with Claude Code/GitHub Copilot ensuring correctness, security, and maintainability).
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team 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.
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.
Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team
