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

KlearNow.ai; California (MO); On-site; USD 140,000 - 165,000; Full time

Benefits offered by this job

Comprehensive medical, dental, and vision insurance

Equity participation

Flexible time off

Job summary

KlearNow.ai is looking for an Engineering Leader in California to drive DevOps, MLOps, and security initiatives while fostering a security-first culture. You will manage a cross-functional team and ensure our AI systems are secure and reliable.

The ideal candidate has strong experience with AWS, GCP, and AI infrastructure, as well as a proven background in cloud security. This hybrid role will allow for flexibility across in-office and remote work.

Qualifications

• Proven engineering leader with hands-on experience in DevSecOps.
• Strong knowledge of AWS and GCP, including cloud security.
• Deep experience managing AI infrastructure and machine learning pipelines.

Responsibilities

• Lead strategy and delivery of DevOps, MLOps, and security engineering.
• Own design and governance of CI/CD pipelines.
• Manage end-to-end security across cloud and infrastructure.

Skills

DevSecOps expertise

AWS knowledge

GCP knowledge

Python

Bash

Go

Java

Cloud security

CI/CD platforms

AI-assisted security

Education

Background in Computer Science or Information Security

Tools

AWS

GCP

Kubernetes (EKS/GKE)

SageMaker

Vertex AI

Job description

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

$140,000 - $165,000 a year

Benefits

• 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.