​Anaconda is the foundational platform for modern data science and AI, serving over 50 million users. As a Platform Engineer on the Platform Core team, you will build the infrastructure that powers AI at scale. Your role is to bridge the gap between complex open-source ecosystems and enterprise-grade reliability, ensuring that both SaaS and self-hosted products remain scalable and developer-friendly.

• ​Compensation: $115,000 – $170,000 + Bonus & Equity
• ​Location: Fully Remote (Distributed Team)
• ​Experience: 2–5 years in Infrastructure, DevOps, or Platform Engineering.
• ​Core Tech: Kubernetes, Terraform, AWS/Azure/GCP, Python, Go.
• ​Deadline: February 19, 2026.

​Cloud-Native Infrastructure & Kubernetes

​You will own the infrastructure components that support core offerings. This involves advanced Kubernetes orchestration across multi-cloud environments including AWS, Azure, and Google Cloud. You will design enduring solutions that handle high-throughput demands while ensuring data science workloads—including those requiring GPU patterns—remain stable.

​Developer Experience & Automation

​A primary goal is to empower developers through self-service capabilities. You will use Terraform or CDK to build infrastructure-as-code blueprints, allowing engineers to deploy software faster without manual intervention. By automating CI/CD workflows and creating robust internal tooling in Python or Go, you directly increase the velocity of the entire engineering organization.

​Observability & Incident Response

​As a member of the Platform Core team, you will support production systems through an on-call rotation. You will utilize observability tools to monitor Linux-based systems, perform root-cause analysis on complex infrastructure failures, and implement permanent fixes. Your success is measured by gains in infrastructure stability and the reduction of incident response times.

​Summary: You are the architect of the environment where data science thrives. By combining deep Kubernetes expertise with a passion for developer experience and automated infrastructure, you ensure that Anaconda remains the most trusted platform for securing and deploying AI at scale.