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

1 мес. назад

140k–165k USD / yearUSALeadHybrid

mlopsdevopssecurity engineering

Lead strategy and delivery of DevOps, MLOps, and security engineering, managing a cross-functional team.

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.

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

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