Senior DevOps Engineer – AI-native Security Infra

Frame Security; United States; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Equity

Job summary

Frame Security in the United States is seeking a DevOps Engineer to join the core team, building the engine behind AI-native security. You will design scalable cloud infrastructure and CI/CD pipelines to ship features quickly while maintaining reliability.

You will implement security best practices, create observability, and automate operations. Ideal candidates have 5+ years in DevOps/SRE, strong Kubernetes, Docker, and Terraform skills, and experience with AWS, GCP, or Azure in production

Qualifications

• 5+ years DevOps/SRE in cloud environments.
• Strong experience with Kubernetes, Docker, and Terraform.
• Deep knowledge of AWS, GCP, or Azure.
• Experience with CI/CD tools: GitHub Actions, GitLab, ArgoCD.
• Production environment experience.
• Experience with security tools and compliance frameworks.

Responsibilities

• Build and maintain cloud infrastructure across environments.
• Design CI/CD pipelines enabling fast, safe deployments.
• Implement security best practices at every layer of our stack.
• Create monitoring, alerting, and observability systems.
• Automate all feasible processes and workflows.
• 5+ years of DevOps/SRE experience in cloud environments.
• Strong Kubernetes, Docker, and Terraform expertise.
• Knowledge of AWS, GCP, or Azure.
• Experience with CI/CD tools: GitHub Actions, GitLab, ArgoCD.
• Production environment experience.
• Security tools and compliance frameworks.

Skills

DevOps/SRE experience

Kubernetes

Docker

Infrastructure as code (Terraform)

CI/CD tooling (GitHub Actions, GitLab,

Tools

Kubernetes

Docker

Terraform

GitHub Actions

GitLab CI

ArgoCD

Job description

Frame Security in the United States is seeking a DevOps Engineer to join the core team, building the engine behind AI-native security. You will design scalable cloud infrastructure and CI/CD pipelines to ship features quickly while maintaining reliability.

You will implement security best practices, create observability, and automate operations. Ideal candidates have 5+ years in DevOps/SRE, strong Kubernetes, Docker, and Terraform skills, and experience with AWS, GCP, or Azure in production