{"id":3700736,"url":"https://alion.io/job/witnessai-staff-devops-engineer","title":"Staff DevOps Engineer","company":{"id":63230,"name":"WitnessAI","domain":"witness.ai","url":"https://alion.io/company/witnessai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-04T06:34:25Z"}},"role":"DevOps","role_family":"DevOps","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":210000,"max":257000,"currency":"USD","period":"year","gross":null,"usd_annual":257000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Aurora","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"ClickHouse","optional":false},{"name":"Cosign","optional":false},{"name":"DynamoDB","optional":false},{"name":"ElasticSearch","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitOps","optional":false},{"name":"Go","optional":false},{"name":"Google GKE","optional":false},{"name":"IAM","optional":false},{"name":"ISO 27001","optional":false},{"name":"Kubernetes","optional":false},{"name":"Kyverno","optional":false},{"name":"LLM","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Progressive Delivery","optional":false},{"name":"Python","optional":false},{"name":"SBOM","optional":false},{"name":"SOC 2","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"vLLM","optional":false}],"status":"live","first_seen_at":"2026-11-03T17:08:33Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-04T14:58:44Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Title: Staff DevOps Engineer\nLocation: Mountain View, CA - Hybrid 2 days/week in office\nAbout Us:\nWitnessAI 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.\nUnlike 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.\nAbout The Role:\nHigh-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.\nResponsibilities:\nDesign and operate 50+ EKS/GKE clusters, multi-tenant compute, autoscaling, and cluster lifecycle management across AWS and GCP.\n\nOwn Infrastructure-as-Code (Terraform) for multi-account, multi-region environments spanning 200+ repos and services.\n\nArchitect and run end-to-end CI/CD pipelines (Harness, GitHub Actions, ArgoCD) with supply chain security, SBOM, and progressive delivery.\n\nBuild and operate large-scale observability stacks - metrics, logs, distributed traces - with OpenTelemetry across all clusters.\n\nEmbed DevSecOps controls: secret management, image signing (Cosign/Chainguard), OPA/Kyverno policy-as-code, and compliance automation.\n\nCreate AI/LLM-powered internal tools for platform operations, incident triage, drift detection, and CI/CD automation.\n\nOperate SQL (Aurora/PostgreSQL) and NoSQL (DynamoDB, ClickHouse, Elasticsearch) platforms at scale, including DR and schema lifecycle.\n\nPartner with dev teams from architecture review through production launch; produce ADRs, runbooks, and engineering standards.\n\nRequired Qualifications:\n10+ years in DevOps, Platform Engineering, or SRE in cloud-native SaaS environments.\n\nExpert AWS (EKS, RDS/Aurora, IAM, VPC, Cost Management) with solid GCP experience.\n\nProduction Terraform at scale: modules, state, drift detection, multi-account patterns.\n\nAdvanced Kubernetes: RBAC, network policy, GitOps (ArgoCD/Flux), operators, and resource management.\n\nStrong Go and/or Python - able to build and ship production-grade internal tooling.\n\nHands-on experience building tools with AI/LLM APIs integrated into engineering workflows.\n\nProduction SQL proficiency and NoSQL platform operations experience.\n\nDemonstrated design and operation of large-scale, multi-cluster observability solutions.\n\nDevSecOps: vulnerability management, supply chain security, compliance frameworks (SOC 2 / ISO 27001).\n\nSelf-directed: scopes ambiguous problems, drives to solution, and delivers independently.\n\nPreferred:\nRegulated industry background (Saas-based fintech, healthtech, AI infrastructure).\n\nGPU infrastructure or AI model-serving experience (vLLM, SageMaker).\n\nOpen source development projects used by others\n\nBenefits:\nHybrid work environment\n\nCompetitive salary and equity\n\nHealth, dental, and vision insurance\n\n401(k) plan\n\nOpportunities for professional development and growth\n\nGenerous vacation policy\n\nSalary:\n$210,000 - $257,000 (The exact salary will be determined based on the selected candidate’s location, qualifications, experience, and relevant 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