Job Description
Who We Are
At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals.
Role Overview
As a Full Stack Engineer, you will be a "force multiplier" for the team. You will not only build mission-critical payment services on AWS but also lead the adoption of agentic AI tools (such as
GitHub Copilot, Claude Code, and Devin AI
) to accelerate the SDLC. You will be responsible for designing, coding, and operating end-to-end solutions while mentoring others in AI-assisted engineering patterns.
Key Responsibilities
- Cloud-Native Development: Design and implement scalable, secure full-stack applications using Java (Spring Boot) and Python, deployed as containerized (EKS) or server-less (Lambda) workloads on AWS.
- AI-Augmented Engineering:
Integrate AI tooling into daily workflows—using GitHub Copilot for real-time assistance, Claude Code for complex architectural reasoning, Devin AI for autonomous task execution and PR management and MCP.
- Full Stack Ownership: Build responsive front-end components (React/TypeScript) and robust back-end APIs, ensuring seamless integration with relational (PostgreSQL) and non-relational (DynamoDB, MongoDB) databases.
- Contemporary SDLC & SecDevOps: Manage the complete lifecycle using GitLab CI/CD, emphasizing automated testing, security scanning, and rapid, high-quality value delivery.
- Modernization & Refactoring: Leverage AI agents to accelerate the migration of legacy payment logic into modern, cloud-native microservices.
- Mentorship: Act as a technical authority, teaching fellow engineers how to effectively prompt, supervise, and validate AI-generated code to maintain enterprise-grade standards.