Principal DevSecOps Engineer - AI Infrastructure

• Serve as the founding infrastructure engineer, building the core platform that scales the company and raises the reliability bar.
• Establish secure, repeatable IaC/GitOps patterns (Terraform/CloudFormation) and automated delivery (GitHub Actions, ArgoCD).
• Partner with teams pre-GA on design reviews, capacity planning, and readiness.
• Define and drive SLIs/SLOs/SLAs and an error-budget culture for services and ops.
• Eliminate toil with end-to-end automation across provisioning, config, testing, and operations.
• Co-design platforms with ML, backend, and security to safely power AI/ML workloads.
• Architect multi-region resilience-backup, DR, and failover-balancing availability, consistency, and cost.
• Advance observability and incident excellence; make smart bets on emerging infra tools.
• Codify production engineering standards and coach teams toward operational excellence.

This position is for a Principal DevSecOps Engineer who will serve as the founding infrastructure engineer, responsible for building the core platform that scales the company and raises the reliability bar. The ideal candidate will have experience in operating high-availability, fault-tolerant distributed systems with IaC and GitOps, as well as strong coding skills in Go/Python/Rust and solid shell skills., * 8+ years operating high-availability, fault-tolerant distributed systems with IaC and GitOps.

• Strong coding in Go/Python/Rust plus solid shell skills; comfortable extending Kubernetes via CRDs.
• Deep Kubernetes/EKS expertise; mastery of containerization and service networking.
• Hands-on with AWS primitives (VPC, EC2, S3, IAM, RDS) and multi-region traffic/failover.
• Observability pro (Prometheus, Grafana, OpenTelemetry, Fluentd, Jaeger) with strong RCA/incident chops.
• Security fundamentals: IAM, secrets management, and compliance guardrails (SOC2/HIPAA/GDPR).
• Experience building secure, self-service platforms (SDKs/APIs/portals, e.g., Backstage/TypeScript).
• Proven SRE practice-SLIs/SLOs, error budgets-and strong testing, reviews, and CI/CD habits.
• Clear communicator and mentor who thrives in fast-moving environments and collaborates across ML.