Lead strategy and delivery for DevOps, MLOps, and security engineering. Own CI/CD, IaC, container orchestration, AI infrastructure (GPU/TPU, model serving, registries), and cloud security across AWS/GCP. Manage a cross-functional team, define security policies, track KPIs, and drive incident response and automation to balance speed with compliance.
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.
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
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What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
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- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
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- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
