Machine Learning Platform – CI​/CD Engineer – Associate – NY​/NJ

What We Do

At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.

Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Engineering, which is comprised of our Technology Division and global strategists’ groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.

We are seeking a skilled and motivated engineer to join our Artificial Intelligence Platforms organization as a CI/CD Engineer on our Machine Learning Platform team.

In this role, you will be part of an expert team responsible for building and maintaining IaC pipelines for AI Services across AWS, GCP and Azure, including enabling use of frontier Large Language Models (LLMs) and agentic flows within the firm.

• Deliver reliable, efficient, secure and automated processes for building, deploying and monitoring relevant infrastructure across different cloud providers, including AWS, GCP, and Azure
• Enable solutions that provide business customers with the ability to leverage the latest frontier LLMs and associated tools to drive value across business units
• Develop and demonstrate deep subject matter expertise on CI/CD and IaC tooling across cloud providers, including Gitlab Pipelines, CDK, Bicep and Terraform
• Deliver high quality, production ready code leveraging CI/CD best practices
• Author and maintain high quality documentation for both the engineering team as well as for business customers
• Remain up to date with the latest advancements in AI/ML frameworks and related technologies
• Participate in on-call and support rotations, helping diagnose and resolve production issues

• 2+ years of experience in building production software using Python
• 2+ years of experience delivering solutions in a public cloud (e.g. AWS, GCP)
• 1+ years of experience in leveraging IaC solutions for cloud development
• 1+ years of experience in leveraging CI/CD tooling as part of the development process
• 1+ years of experience working with containers (e.g. Docker, Podman)
• 1+ years of experience with Unix-based systems
• Solid grasp of software engineering fundamentals, including debugging, testing, and maintainable code design
• Strong problem-solving skills and the ability to work effectively in a fast‑paced and collaborative environment
• Strong desire to keep learning and stay up to date with the latest and greatest developments in the AI space, especially for frontier models and agentic flows

• 4+ years of experience in building production software using Python
• 4+ years of experience delivering solutions in a public cloud (e.g. AWS, GCP)
• 3+ years of experience in leveraging IaC solutions for cloud development
• 3+ years of experience in leveraging CI/CD tooling as part of the development process
• 2+ years of experience working with containers (e.g. Docker)
• Previous experience managing LLMs and agents in a production environment.
• Excellent communication skills and the ability to articulate complex technical concepts to both technical and non-technical stakeholders.

• Takes a well‑defined task and independently drives it to completion with minimal supervision.
• Demonstrates persistence and creativity in overcoming technical and process‑related impediments.
• Understands and articulates trade‑offs that must be considered when proposing a solution to a problem
• Writes code that is well documented, readable, testable, and extendable
• Shows curiosity about how the entire system works end‑to‑end, not just within their assigned domain