Principal Platform Engineer

Role overview Lead the design and operation of shared infrastructure and developer platforms used by engineering teams. The role calls for deep, hands-on platform expertise spanning infrastructure as code, Kubernetes, cloud security, delivery automation, compliance, and production observability, alongside experience building application software.

Responsibilities - Architect and maintain fleet-scale infrastructure as code, including reusable modules, remote state, and multi-environment setups. - Operate production Kubernetes platforms with GitOps, tenant isolation, network controls, admission policies, and workload identity. - Build shared CI/CD capabilities with reusable workflows and consistent quality, security, and branch protection rules. - Implement cloud identity and network protections, security and compliance as code, and supply chain controls. - Establish production observability through telemetry, service objectives, alerting, incident response, and fault testing. - Contribute production application code and collaborate with product teams; communicate technical decisions to engineers and executive stakeholders.

Requirements - 15 or more years in software, platform, infrastructure engineering, or a closely related field. - Extensive hands-on infrastructure-as-code experience, such as Terraform or OpenTofu with Terragrunt or equivalent. - Production Kubernetes platform operations and shared CI/CD platform experience. - Strong cloud identity and network security skills in Azure, AWS, GCP, or a comparable cloud environment. - Experience with security scanning, policy engines, software supply chain protections, and SOC 2 or ISO 27001 evidence. - Production observability expertise and production software engineering experience in Go, Python, or TypeScript. - Fluent English communication and experience with Agile, code review, testing, and cross-functional product work.

Nice to have - Platform experience for consulting or professional services, including client isolation or data residency. - Familiarity with virtual clusters, control-plane tooling, or developer portals. - Experience supporting AI coding assistants with appropriate sandboxing. - Cloud, Kubernetes, or security certifications; FinOps and cloud cost optimization experience. - Interest in developer education through guides, workshops, or internal tooling communities.