Goldman Sachs is continuing its substantial effort to modernize its payments platform. As part of our broader strategy to digitize operations and provide financial services "as a Service," the payments platform is transforming premise-based infrastructure into a set of nimble, reliable, and scalable services designed natively for the public cloud.
Transformation starts with people. We recognize the need to uplift and modernize the skillsets of our staff while delivering value to our stakeholders. We are seeking forward-thinking engineers who bring a specific cloud engineering discipline and a mastery of AI-augmented development to change the habits and manner in which we develop software.
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.
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
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.
Skills Required
- 4-6 years 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 React and TypeScript for front-end development
- 5+ years working with SQL (relational) databases (PostgreSQL/Aurora)
- Experience with NoSQL databases (DynamoDB, MongoDB, Cassandra)
- Experience designing and delivering RESTful APIs and microservices architectures
- Experience with messaging/streaming (MSK)
- 2+ years hands-on AWS experience including Lambda, ECS/EKS, S3, IAM, KMS
- Familiarity with CloudFormation or CDK for infrastructure as code
- Containerization and orchestration: Docker and Kubernetes (EKS)
- Experience implementing SecDevOps practices, identity propagation, and secure secret management
- Experience with CI/CD pipelines (GitLab CI/CD) and automated testing/security scanning
- Proven use of AI coding assistants and agentic AI tools (GitHub Copilot, Claude Code, Devin AI) and ability to supervise AI outputs
- Prompt engineering and designing AI agent workflows
- Familiarity with financial messaging standards (e.g., ISO 20022)
- Contributions to open-source AI agent frameworks or internal AI-driven automation initiatives
Goldman Sachs Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Goldman Sachs and has not been reviewed or approved by Goldman Sachs.
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Healthcare Strength — Coverage includes medical, dental, vision, disability, life and accident insurance, with multiple plan options and most premiums subsidized; coverage often starts on day one. Wellness resources, on-site health centers in some locations, and EAP access reinforce the depth of health support.
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Parental & Family Support — Family care includes on-site childcare in some offices, expectant parent resources, and transitional programs for returning parents. Feedback suggests parental leave is very generous, with reports of around 20 weeks paid leave and stipends for adoption, surrogacy, and fertility-related services.
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Retirement Support — The firm provides a 401(k) plan with employer matching contributions and broad financial education to help employees plan for retirement. Resources also support saving for education and preparing for unexpected events.
Goldman Sachs Insights
What We Do
At Goldman Sachs, we believe progress is everyone’s business. That’s why we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, Goldman Sachs is a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices in all major financial centers around the world. More about our company can be found at www.goldmansachs.com
