Job Title: Staff DevOps Engineer
Location:
Mountain View, CA - Hybrid 2 days/week in office
About Us:
WitnessAI is the unified AI security and governance platform enterprises trust to govern and protect all AI activity. We provide complete, network-level visibility into every interaction including employees and autonomous agents, even in native apps where legacy tools are blind. Unlike security that relies on outdated keywords, our platform understands intent, enabling intelligent policies that stop novel threats like prompt injection while empowering productivity. WitnessAI transforms security from a bottleneck into the enabler of your AI strategy as the confidence layer for enterprise AI.
About The Role:
High-impact individual contributor role at the intersection of cloud infrastructure, developer experience, AI-augmented tooling, and platform security. You will own architecture and operations of a large-scale multi-tenant SaaS platform across AWS and GCP, partner directly with product engineering teams on new service design, and work autonomously from ambiguous problem to production solution.
Responsibilities:
- 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 (Harness, GitHub Actions, ArgoCD) with supply chain security, SBOM, and progressive delivery.
- Build and operate large-scale observability stacks — metrics, logs, distributed traces — with OpenTelemetry across all clusters.
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.
Preferred:
- 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
Salary:
$234,000-$257,000 (The exact salary will be determined based on the selected candidate’s location, qualifications, experience, and relevant skills.)
