DevOps, MLOps & Security Engineering Lead

TL;DR

DevOps, MLOps & Security Engineering Lead (DevSecOps/AWS/GCP): Own CI/CD pipeline governance, AI infrastructure for training and inference, and end-to-end security across cloud and product with an accent on multi-cloud reliability, secure automation, and incident response. Focus on designing scalable infrastructure-as-code and model-serving systems while translating security requirements into measurable roadmaps and standards.

Location: California (Hybrid, San Jose, CA headquarters)

Company

hirify.global builds AI-focused products and requires secure, reliable DevOps and MLOps infrastructure across AWS and GCP.

What you will do

• Design and govern CI/CD pipelines with automated testing, SAST/DAST scanning, dependency checks, and secrets detection.
• Lead infrastructure-as-code and container orchestration practices; drive automation to reduce manual effort and improve consistency at scale.
• Build and operate the AI infrastructure layer for ML training pipelines, model registry, experiment tracking, and inference scaling across AWS and GCP.
• Own end-to-end security across cloud, infrastructure, and product: cloud posture management, API protection, runtime security, network segmentation, and secrets management.
• Translate security and engineering requirements into roadmaps, define KPIs, and advise engineering squads and leadership.
• Anticipate operational risks and lead preventative measures and rapid incident response across environments.

Requirements

• Proven engineering leadership with hands-on depth in DevSecOps and the ability to grow and inspire a high-performing team.
• Strong hands-on knowledge of AWS and GCP, including compute, networking, IAM, and managed Kubernetes (EKS/GKE), plus cloud-native security tooling and cost-efficient resource management.
• Strong experience managing AI infrastructure, including GPU/TPU provisioning, distributed training, model serving platforms (e.g., SageMaker, Vertex AI), and inference optimization at scale.
• Hands-on security and modern CI/CD platform experience across hybrid, multi-cloud environments.
• Proficiency in scripting and development: Python, Bash, Go, or Java.
• Background in Computer Science, Information Security, or equivalent practical experience.

Culture & Benefits

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