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# ML Platform Engineer

- **Company:** Salesforce.com, Inc.
- **Location:** New York, NY, United States
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Automation of Tests, Cloud Engineering, Continuous Integration, Github, Design of User Interfaces, Identity and Access Management, Virtual Private Networks (VPN), Python (Programming Language), Key Management, Machine Learning, Azure Machine Learning, Secure Coding, Software Engineering, Cloud Platform System, Istio, Grafana, Containerization, AI Platforms, Kubernetes, Data Management, Machine Learning Operations, Route53, Model Registry, Terraform, Docker, Pagerduty
- **Published:** October 31, 2026
- **Apply:** https://www.juju.com/job/1_6546A1B8AE44462992674BCC9B7C3D7E-NY1650217

## About the Role

Looking ForProven experience as a Platform Engineer, Software Engineer, or ML Infrastructure Engineer.Strong software engineering skills, particularly with Python, for building scalable tools, automation scripts, and platform components.Strong expertise in cloud platforms, particularly AWS (IAM, EKS, S3, SageMaker, etc.).Extensive experience with CI/CD tools, especially GitHub Actions and ArgoCDProficiency in infrastructure-as-code principles and tools (e.g., Terraform).Experience with containerization technologies (Docker) and orchestration (Kubernetes).Understanding of networ

## Description

We are seeking a highly skilled and motivated AI Platform Engineer to play a pivotal role in the development of our ML/AI platform.
This role will be instrumental in building, maintaining, and scaling the core infrastructure, platform services, and CI/CD pipelines that underpin our machine learning initiatives and product launches.
You will work on critical projects that directly impact our marketing, sales, service, and product growth verticals of the organization..This isn't a traditional infrastructure role.
You should be open to wearing multiple hats-including but not limited to infrastructure, software engineering, and UI/UX development.
We're looking for innovative, out-of-the-box thinkers who aren't afraid to experiment, build complex systems, and tackle challenges across the stack.What You'll DoKey Responsibilities:Infrastructure Development: Design, implement, and manage secure and scalable cloud infrastructure (primarily AWS) including networking, permissions management, data management, and kubernetes.ML Platform Services: Develop and maintain core ML platform components such as Model Registry, permissions services for project access, and tools for SageMaker default setup and deployments.CI/CD and Workflow Automation: Build and optimize CI/CD pipelines using GitHub Actions for efficient and secure code deployment, Docker and package building, and security scanning.Networking: Ensure robust and secure connectivity for the platform, including ingress (public and VPN), egress, and domain management (Route53).
Manage service mesh (Istio) for traffic routing and security trust between micro services.Tooling and Automation: Implement and manage essential tooling to enhance developer productivity and platform security, including secrets management, package/dependency management, testing frameworks, developer self-service tools, automation scripts/bots, and observability integrations.Monitoring and Reliability: Contribute to establishing monitoring solutions (e.g., Grafana, PagerDuty) and integrate security scanning to ensure platform health and security.Security & Compliance: Participate in security reviews and ensure all platform components adhere to security best practices and compliance requirements.Collaboration: Work closely with cross-functional teams, including ML engineers, data scientists, and product managers, to deliver robust and high-performance solutions.Documentation: Create and maintain comprehensive documentation for infrastructure, services, workflows, and user guides.What We're