Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
WitnessAI

Staff DevOps Engineer

WitnessAI

. Design and operate 50+ EKS/GKE clusters, multi-tenant compute, autoscaling, and cluster lifecycle management across AWS and GCP .

Posted 11/6/2026full-timeMountain View • California • United StatesLead💰 $210,000 - $257,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and operating large-scale EKS/GKE clusters and multi-tenant SaaS platforms across AWS and GCP, with a strong focus on Infrastructure-as-Code using Terraform and advanced Kubernetes management. Proficient in building CI/CD pipelines and implementing DevSecOps practices to ensure security and compliance in cloud-native environments.

Highest-signal resume keywords
AWS Expertise (EKS, RDS/Aurora, IAM, VPC)Terraform at ScaleAdvanced Kubernetes ManagementProduction SQL and NoSQL OperationsDevSecOps Implementation

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Infrastructure-as-CodeCI/CD Pipeline ArchitectureKubernetesTerraformSQLNoSQLGoPythonObservability SolutionsDevSecOps
Soft Skills
Self-DirectedProblem SolvingCollaboration
Tools & Technologies
EKSGKEHarnessGitHub ActionsArgoCDOpenTelemetryAI/LLM APIsOPA/KyvernoMulti-Cluster ManagementSaaS Platforms
Industry Keywords
Cloud-NativeSaaSFintechHealthtechAI InfrastructureCompliance Frameworks (SOC 2 / ISO 27001)

Tech Stack

Tools & technologies
AWSCloudFluxGoogle Cloud PlatformKubernetesNoSQLOpen SourcePythonSQLTerraformGo

About the role

Key responsibilities & impact
  • 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 using Harness, GitHub Actions, and ArgoCD with supply chain security, SBOM, and progressive delivery
  • Build and operate large-scale observability stacks covering metrics, logs, and distributed traces with OpenTelemetry across all clusters
  • Embed DevSecOps controls including secret management, image signing, OPA/Kyverno 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 development teams from architecture review through production launch
  • Produce ADRs, runbooks, and engineering standards
  • Own architecture and operations of a large-scale multi-tenant SaaS platform across AWS and GCP
  • Work autonomously from ambiguous problem to production solution

Requirements

What you’ll need
  • 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
  • Regulated industry background (SaaS-based fintech, healthtech, AI infrastructure) preferred
  • GPU infrastructure or AI model-serving experience (vLLM, SageMaker) preferred
  • Open source development projects used by others preferred

Benefits

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