Principal DevOps Engineer

Bitsight is hiring a Principal DevOps Engineer to shape the architecture and operation of its cloud platform. The role sets infrastructure direction, improves platform availability and scalability, leads AI platform infrastructure, and builds reusable tooling for engineering teams.

Responsibilities:

• Own platform architecture. Make and document the infrastructure decisions that product teams build on, across AWS, with growing footprints in GCP and Azure
• Own availability. Set SLOs for core platform services and meet them. Lead the response to major incidents and make sure post-mortem follow-ups actually ship
• Run Kubernetes at scale. Operate EKS clusters, including capacity planning, node and pod density, graceful shutdown, and access models that give developers the access they need
• Build reusable infrastructure as code. Write and maintain Terraform modules (RDS, S3, IAM) that product teams use directly. Retire old infrastructure repos and accounts cleanly
• Lead AI platform infrastructure. Operate and improve our internal AI gateway (LiteLLM, Langfuse). Evaluate alternatives, onboard new models quickly, and build the cost reporting, guardrails and model-request policy around them
• Deliver data residency. Keep US and EU environments at parity so regulated customers get the same product wherever their data lives
• Make observability and cost visible. Design logging and metrics pipelines (OpenSearch, Sumo Logic, archival to S3) and enforce hygiene such as lifecycle policies, orphaned-resource cleanup and accurate tagging
• Multiply others. Mentor DevOps and backend engineers, review designs, and turn repeated one-off requests into self-service tooling
• Where appropriate, run POCs and prototype new solutions. Evaluate cost benefits and bring the best solutions to fruition

Requirements:

• 10+ years in infrastructure, SRE or DevOps roles, with at least 3 at staff or principal level setting technical direction
• Deep AWS expertise (EKS, RDS, S3, IAM), plus working knowledge of GCP or Azure
• Strong Terraform skills and a track record of building modules that other teams actually adopt
• Production Kubernetes experience, including Helm, GitOps workflows and cluster lifecycle management
• Experience owning uptime for production systems, including on-call and incident command
• he judgement and maturity necessary to evaluate AI opportunities and to convert them into new capabilities. Monitor the results and mature our usage
• Clear written communication. You can write an architecture proposal that a VP and a junior engineer both understand
• Experience with multi-region deployments or EU data residency requirements
• Familiarity with Crossplane, kgateway or similar platform-engineering tools
• Experience building internal developer platforms or CLIs