KlearNow
DevOps, MLOps & Security Engineering Lead - San Jose, CA
California
Sponsorship not specified$140k-$165kDetected 21 days ago
PythonJavaBashAWSGCPCloud PlatformsKubernetesCI/CDDevOpsMachine LearningMLOpsCybersecurityDetection EngineeringIncident ResponseSupply ChainTest AutomationLeadership
About the role
- MLOps & AI Infrastructure Apply engineering rigor to ML training pipelines, model serving infrastructure, and data supply chains.
- Ensure AI systems are built, deployed, and monitored to the same reliability and security standards as core product services.
- Define and enforce security policies, standards, and best practices that balance delivery speed with a strong compliance posture.
Responsibilities
- Own the design and governance of CI/CD pipelines - including automated testing, SAST/DAST scanning, dependency checks, and secrets detection.
- Lead infrastructure-as-code and container orchestration practices, and drive automation initiatives that reduce manual effort and improve consistency at scale.
- Design and manage the AI infrastructure layer - including GPU/compute resource provisioning, model registry operations, experiment tracking, and inference scaling - across AWS and GCP.
- Lead end-to-end security across cloud, infrastructure, and product - spanning cloud posture management, API protection, runtime security, network segmentation, and secrets management across AWS and GCP environments.
- Anticipate operational risks, drive preventative measures, and lead rapid incident response across environments.
Requirements
- A proven engineering leader with hands-on depth in DevSecOps, capable of growing and inspiring a high-performing team
- Strong hands-on knowledge of AWS and GCP - including compute, networking, IAM, managed Kubernetes (EKS/GKE), cloud-native security tooling, and cost-efficient resource management across both platforms
- Deep experience managing AI infrastructure - GPU/TPU provisioning, distributed training environments, model serving platforms (e.g. SageMaker, Vertex AI), and inference optimization at scale
- Familiarity with AI-assisted security - threat detection, anomaly detection, intelligent vulnerability triage - is a strong advantage
Compensation
- $140k-$165k
Company info
- What We Are Looking For
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