
DevOps, MLOps & Security Engineering Lead - San Jose, CA
KlearNow ai
Posted 2026-07-01
USD 140,000 - USD 165,000 per year
Tech & Engg
Job Description
Ovii's Interpretation of the Role
Lead the strategy, delivery, and security of DevOps, MLOps, and cloud infrastructure for an AI‑native platform. Build and guide a cross‑functional team while partnering with product and engineering leadership to ship fast and securely.
Role Snapshot
- Engineering leader for DevSecOps
- Cross‑functional team manager
- AI/ML infrastructure owner
- Cloud security champion
- Hybrid work (CA) – Full‑time
Must-Have Requirements
- AWS
- GCP
- Managed Kubernetes (EKS/GKE)
- CI/CD pipeline governance
- Scripting (Python, Bash, Go, Java)
- AI infrastructure (GPU/TPU provisioning, SageMaker, Vertex AI)
- Cloud and infrastructure security
- engineering leadership
- hands‑on DevSecOps
- cloud infrastructure
- AI infrastructure
- Computer Science or Information Security degree or equivalent practical experience
Nice-to-Have Signals
- AI‑assisted security (threat detection, anomaly detection, intelligent vulnerability triage)
- AI‑assisted security
Work Setup
- Location: San Jose, United States
- Work mode: HYBRID
- Remote scope: UNSPECIFIED
- Employment type: Full-Time
Eligibility Gates
- Visa sponsorship: unknown
Not Specified in JD
- Visa sponsorship
- Travel requirement
What You'll Likely Work On
- Design and govern CI/CD pipelines with automated testing, SAST/DAST, dependency and secret scanning
- Lead infrastructure‑as‑code and container orchestration to improve consistency and reduce manual effort
- Apply engineering rigor to ML training pipelines, model serving, experiment tracking, and inference scaling on AWS and GCP
- Define, enforce, and audit security policies across cloud, infrastructure, and product layers
- Partner with product and engineering leaders to translate security and reliability requirements into roadmaps and KPIs
- Drive rapid incident response and preventative risk measures across multi‑cloud environments
Good Fit If You Have
- Proven track record of growing high‑performing DevSecOps teams
- Strong communicator who can influence developers, stakeholders, and executives
- Hands‑on experience with cloud‑native security tooling and cost‑efficient resource management
Skills
- AWS & GCP cloud platforms
- Managed Kubernetes (EKS/GKE)
- CI/CD pipeline governance
- Scripting (Python, Bash, Go, Java)
- AI infrastructure (GPU/TPU, SageMaker, Vertex AI)
- Cloud & infrastructure security