Head of DevOps

present of AI; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

WitnessAI is seeking a senior leader to guide DevOps, SecOps, MLOps, and IT engineers. The role combines hands-on architecture and implementation with strategic oversight, ensuring production systems are reliable, scalable, and secure in cloud environments.

You will drive automation, monitoring, and policy enforcement across AI traffic and governance pipelines, mentor teams, and collaborate with security and product stakeholders to balance reliability with risk.

Qualifications

• Experience leading DevOps, SecOps and MLOps teams.
• Deep cloud and networking knowledge with production-scale systems.

Responsibilities

• Lead DevOps, SecOps, MLOps teams and drive architecture and implementation.
• Ensure reliable, scalable production systems in cloud environments.
• Oversee SOC2 compliance and security integration across pipelines.
• Mentor engineers, improve observability, monitoring and incident response.

Skills

Cloud & networking

Kubernetes

Team leadership

SOC2 experience

Observability

Security integration

Job description

This role leads the DevOps, SecOps, MLOps and IT engineers while also doing hands on architecture and implementation work. A strong candidate brings deep cloud and networking knowledge, container orchestration experience, and a record of running reliable production systems at scale. Compliance work such as SOC2 and a practical grasp of security integration round out the profile.

How it fits the AI era

The company sells AI security and governance, so the infrastructure this role runs directly supports AI traffic and policy enforcement. AI shifts routine infrastructure work toward automation and monitoring, while judgment about reliability, security tradeoffs and incident response stays with people. Leading a team through that change matters as much as the tooling.

How it builds AI experience

The role offers exposure to securing AI activity at the network level and to MLOps practices alongside DevOps and SecOps. Building that experience means getting comfortable with observability, policy enforcement and compliance controls in cloud environments. Prior work with AI or security platforms helps, though the posting does not require it.

Worth showing

• Kubernetes and Docker
• SOC2 compliance experience
• Team leadership and mentoring
• Monitoring and observability

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About WitnessAI

WitnessAI provides a unified AI security and governance platform that observes, controls, and protects AI activity across employees, models, applications, and agents, per the company.