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

Goldman Sachs • Dallas, TX

1d • Onsite

About The Position

Goldman Sachs is undertaking a significant modernization of its payments platform, transitioning from premise-based infrastructure to a cloud-native, service-oriented architecture on AWS. This initiative aims to digitize operations and offer financial services 'as a Service.' The role focuses on uplifting staff skillsets and modernizing software development practices through cloud engineering and AI-augmented development. The Full Stack Engineer will act as a 'force multiplier,' building critical payment services on AWS, leading the adoption of AI tools to accelerate the Software Development Life Cycle (SDLC), and mentoring others in AI-assisted engineering. Responsibilities include designing, coding, and operating end-to-end solutions.

Requirements

• 4-6 years of professional software engineering experience (Associate level).
• Deep expertise in Java and the Spring Framework ecosystem.
• Proficiency in Python for automation and AI integration.
• Strong experience with modern JavaScript frameworks, specifically React and TypeScript.
• 5+ years working with SQL (relational) and experience with NoSQL databases like DynamoDB, Aurora Postgres, or Cassandra.
• String experience with MSK.
• Proven track record of designing and delivering RESTful APIs and microservices architectures.
• 2+ years of hands-on experience with AWS services, including Lambda, ECS/EKS, S3, IAM, KMS, and CloudFormation/CDK.
• Strong knowledge of Docker and Kubernetes (EKS) for orchestrating distributed systems.
• Experience implementing a SecDevOps mindset, including identity propagation and secure secret management in the cloud.
• 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.
• Ability to design structured prompts and workflows for AI agents to handle multi-step engineering tasks like unit test generation and documentation.
• Strong ability to critically evaluate AI-generated outputs for correctness, security, and performance.

Nice To Haves

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

Responsibilities

• 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.
• 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.
• Build responsive front-end components (React/TypeScript) and robust back-end APIs, ensuring seamless integration with relational (PostgreSQL) and non-relational (DynamoDB, MongoDB) databases.
• Manage the complete lifecycle using GitLab CI/CD, emphasizing automated testing, security scanning, and rapid, high-quality value delivery.
• Leverage AI agents to accelerate the migration of legacy payment logic into modern, cloud-native microservices.
• Act as a technical authority, teaching fellow engineers how to effectively prompt, supervise, and validate AI-generated code to maintain enterprise-grade standards.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed