Staff DevOps Engineer

The role

You will own the architecture and operations of a large-scale multi-tenant SaaS platform across AWS and GCP. You will design EKS/GKE clusters, manage Infrastructure-as-Code, and build AI/LLM-powered internal tools.

What you will do

• Design and operate 50+ EKS/GKE clusters, multi-tenant compute, autoscaling, and cluster lifecycle management across AWS and GCP.
• Own Infrastructure-as-Code (Terraform) for multi-account, multi-region environments spanning 200+ repos and services.
• Architect and run end-to-end CI/CD pipelines with supply chain security, SBOM, and progressive delivery.
• Build and operate large-scale observability stacks with OpenTelemetry across all clusters.
• Embed DevSecOps controls including secret management, image signing, policy-as-code, and compliance automation.
• Create AI/LLM-powered internal tools for platform operations, incident triage, drift detection, and CI/CD automation.
• Operate SQL and NoSQL platforms at scale, including DR and schema lifecycle.
• Partner with dev teams from architecture review through production launch; produce ADRs, runbooks, and engineering standards.

Required qualifications

• 10+ years in DevOps, Platform Engineering, or SRE in cloud-native SaaS environments.
• Expert AWS (EKS, RDS/Aurora, IAM, VPC, Cost Management) with solid GCP experience.
• Production Terraform at scale: modules, state, drift detection, multi-account patterns.
• Advanced Kubernetes: RBAC, network policy, GitOps (ArgoCD/Flux), operators, and resource management.
• Strong Go and/or Python — able to build and ship production-grade internal tooling.
• Hands-on experience building tools with AI/LLM APIs integrated into engineering workflows.
• Production SQL proficiency and NoSQL platform operations experience.
• Demonstrated design and operation of large-scale, multi-cluster observability solutions.
• DevSecOps: vulnerability management, supply chain security, compliance frameworks (SOC 2 / ISO 27001).
• Self-directed: scopes ambiguous problems, drives to solution, and delivers independently.

Nice to have

• Regulated industry background (Saas-based fintech, healthtech, AI infrastructure).
• GPU infrastructure or AI model-serving experience (vLLM, SageMaker).
• Open source development projects used by others

Benefits

• Hybrid work environment
• Competitive salary and equity
• Health, dental, and vision insurance
• 401(k) plan
• Opportunities for professional development and growth
• Generous vacation policy

About the company

WitnessAI is the unified AI security and governance platform enterprises trust to govern and protect all AI activity. They provide network-level visibility into every interaction including employees and autonomous agents.