Hybrid Staff DevOps Engineer — Scale Multi-Tenant SaaS

Witness AI; San Francisco (CA); Híbrido; USD 210.000 - 257.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work environment

Competitive salary and equity

Health, dental, and vision insurance

401(k) plan

Professional development and growth

Generous vacation policy

Descripción de la vacante

Witness AI is seeking a Staff DevOps Engineer to own architecture and operations of a large-scale multi-tenant SaaS platform on AWS/GCP. You will partner with product engineering on service design and work autonomously from problem to production.

Responsibilities include managing 50+ clusters, Terraform multi-account patterns, end-to-end CI/CD with security tooling, and building AI-enabled ops tools. Hybrid work model in Mountain View area.

Formación

• 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.

Responsabilidades

• Design and operate 50+ EKS/GKE clusters, multi-tenant compute, autoscaling, across AWS and GCP.
• Own Infrastructure-as-Code (Terraform) for multi-account, multi-region environments.
• Architect and run end-to-end CI/CD pipelines (Harness, GitHub Actions, ArgoCD) with SBOM & supply chain security.
• Build and operate large-scale observability stacks — metrics, logs, traces — with OpenTelemetry.
• Embed DevSecOps controls: secret management, image signing, policy-as-code, compliance automation.
• Create AI/LLM-powered internal tools for platform operations, incident triage, and CI/CD automation.
• Operate SQL (Aurora/PostgreSQL) and NoSQL platforms (DynamoDB, ClickHouse, Elasticsearch) at scale.

Conocimientos

Self-direction

Leadership

Cloud-native SaaS experience

Herramientas

AWS EKS

GCP

Terraform

Kubernetes

GitOps (ArgoCD/Flux)

Harness

GitHub Actions

ArgoCD

Cosign/Chainguard

OpenTelemetry

SQL/NoSQL (Aurora/PostgreSQL, DynamoDB)

Descripción del empleo

Witness AI is seeking a Staff DevOps Engineer to own architecture and operations of a large-scale multi-tenant SaaS platform on AWS/GCP. You will partner with product engineering on service design and work autonomously from problem to production.

Responsibilities include managing 50+ clusters, Terraform multi-account patterns, end-to-end CI/CD with security tooling, and building AI-enabled ops tools. Hybrid work model in Mountain View area.