Corporate Treasury, Payments Platform, Software Engineering, Associate, NY

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.
• Modern 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.

Required Skills & Experience

• Baseline Engineering Experience: 4-6 years of professional software engineering experience (Associate level).
• Backend Mastery: Deep expertise in Java and the Spring Framework ecosystem. Proficiency in Python for automation and AI integration.
• Frontend Proficiency: Strong experience with modern JavaScript frameworks, specifically React and TypeScript.
• Data Systems: 5+ years working with SQL (relational) and experience with NoSQL databases like DynamoDB, Aurora Postgres, or Cassandra.
• Messaging: String experience with MSK.
• API Design: Proven track record of designing and delivering RESTful APIs and microservices architectures.
• AWS & Cloud-Native Specialization: AWS Proficiency: 2+ years of hands-on experience with AWS services, including Lambda, ECS/EKS, S3, IAM, KMS, and CloudFormation/CDK. Containerization: Strong knowledge of Docker and Kubernetes (EKS) for orchestrating distributed systems. Security: Experience implementing a SecDevOps mindset, including identity propagation and secure secret management in the cloud.
• AI-Augmentation & Productivity: AI Tooling: Demonstrated proficiency in using AI coding assistants (e.g., GitHub Copilot) and agentic AI (e.g., Claude Code, Devin AI) to improve velocity and code quality. Prompt Engineering: Ability to design structured prompts and workflows for AI agents to handle multi-step engineering tasks like unit test generation and documentation. Critical Supervision: Strong ability to critically evaluate AI-generated outputs for correctness, security, and performance.

Preferred Qualifications

• Familiarity with financial messaging standards (e.g., ISO 20022).
• Contributions to open-source AI agent frameworks or internal AI-driven automation initiative.

Pay

Salary Range: The expected base salary for this New York, New York, United States-based position is $115000-$180000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.

Benefits

Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.