Senior DevOps Engineer - GCP

Witness AI • Mountain View, CA

94d • $168,000 - $225,000

About The Position

WitnessAI is a fast-growing SaaS startup on a mission to enable enterprises to adopt AI, safely. We're building a product that provides security and governance guardrails for public and private LLMs. We’re looking for a Sr. DevOps Engineer who will take ownership of designing, securing, and scaling the cloud backbone of our AI security platform. You’ll be responsible for infrastructure architecture in Google Cloud Platform (GCP), with a deep focus on networking, VPC security, interconnectivity, and service reliability. You’ll work closely with ML engineers, security researchers, and backend developers to build highly reliable, secure, and performant environments for running AI workloads and security tooling.

Requirements

• 7+ years of experience in infrastructure engineering, site reliability, or DevOps
• Deep expertise in Google Cloud Platform, including VPC networking, Cloud NAT, private services, and inter-project connectivity
• Strong knowledge of Terraform and infrastructure-as-code practices
• Proficiency with container orchestration (Kubernetes / GKE preferred)
• Experience designing for high availability, scalability, and secure access across cloud environments
• Familiarity with service mesh tools (Istio, Linkerd, etc.) and API gateways
• Solid understanding of Linux, DNS, TLS, load balancing, and network security principles
• Comfort working in a fast-paced startup environment with ownership and autonomy

Nice To Haves

• Experience in regulated or high-security environments (SOC 2, FedRAMP, HIPAA, etc.)
• Exposure to ML infrastructure, GPU workloads, or data pipelines, including VPC networking, Cloud NAT, private services, and inter-project connectivity
• Demonstrated automation experience using bash, golang, python or other languages.

Responsibilities

• Design, implement, and maintain GCP-based infrastructure for secure AI workloads and APIs
• Build and manage scalable, low latency Internet and Cloud networking strategies eg Anycast+, route optimization, and private VPC peering, VPC networks, private service access, peering, and firewall configurations.
• Develop secure ingress/egress patterns, service meshes, and zero-trust networking topologies
• Automate infrastructure provisioning using Terraform, Helm, and CI/CD workflows
• Collaborate on platform observability: logging, monitoring, alerting, and incident response
• Harden cloud infrastructure against threats using IAM best practices, organization policies, and GCP security controls
• Work cross-functionally with engineering, data science, and security teams to optimize environment reliability and cost
• Help establish infrastructure SLAs, SLOs, and runbooks as the platform scales

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 51-100 employees