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KlearNow.ai

DevOps, MLOps & Security Engineering Lead - San Jose, CA

California, United States

Location
California, United States
Work
Hybrid
Employment
Full-time
Level
Lead / staff
Function
Security
Pay
$140K – $165K a year
Posted
4 months ago

Pay and the market here

The top of this role’s range, $165K a year, is 43% below the median of $288K for lead / staff security jobs in California (middle half $240K – $335K, 201 jobs that state pay).

964 security jobs open in California: 10% remote, 290 posted in the last 30 days.

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About the role

KlearNow is building AI-native technology that transforms how global trade moves. In this role, you will lead the strategy and delivery of DevOps, MLOps, and security engineering — protecting our infrastructure, software supply chain, and AI systems while enabling the team to ship with speed and confidence. You will manage a cross-functional team of security and DevOps engineers, partner closely with Product and Engineering leadership, and embed a security-first culture across everything we build.

What You'll Do

DevOps & CI/CD

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.

MLOps & AI Infrastructure

Apply engineering rigor to ML training pipelines, model serving infrastructure, and data supply chains. Design and manage the AI infrastructure layer — including GPU/compute resource provisioning, model registry operations, experiment tracking, and inference scaling — across AWS and GCP. Ensure AI systems are built, deployed, and monitored to the same reliability and security standards as core product services.

Security

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. Define and enforce security policies, standards, and best practices that balance delivery speed with a strong compliance posture. Anticipate operational risks, drive preventative measures, and lead rapid incident response across environments.

Strategy & Leadership

Translate security and engineering requirements into actionable roadmaps. Define and track KPIs that demonstrate delivery effectiveness and inform prioritization. Act as a trusted security advisor to engineering squads and leadership alike.

What We Are Looking For

  • 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
  • Strong knowledge of cloud security, infrastructure security, and modern CI/CD platforms across hybrid, multi-cloud environments
  • Proficient in scripting and development — Python, Bash, Go, or Java
  • A confident communicator who can translate priorities clearly across developers, stakeholders, and executives
  • Familiarity with AI-assisted security — threat detection, anomaly detection, intelligent vulnerability triage — is a strong advantage
  • Background in Computer Science, Information Security, or equivalent practical experience

KlearNow offers a competitive compensation package commensurate with experience, including:

  • Comprehensive medical, dental, and vision insurance
  • Equity participation
  • Flexible time off
  • Collaborative, hybrid in-office environment in our San Jose, CA headquarters

This position is a hybrid role in San Jose, CA. Work from home Monday's and Fridays and in office Tuesday, Wednesday and Thursday.

Source

Posted by KlearNow.ai on their own hiring page, jobs.lever.co. OptiTalent shows it as published, read 07 Nov 2026 12:14 UTC; the original is the reference.

View the original ad ↗

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