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Irregular

Red-teaming frontier AI models for safety

Senior DevOps Engineer

Cloud EngineeringConfirmed live in the last 24 hours
Full-timeTel Aviv-Yafo, IsraelNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of hands-on experience as a DevOps or Infrastructure Engineer in production environments.
  • Strong hands-on experience with AWS architecture, networking, security, and cost awareness.
  • Proven production experience with containerization and orchestration using Docker and Kubernetes.
  • Hands-on experience designing and maintaining CI/CD pipelines, such as GitHub Actions or similar tools.
  • Strong experience with Infrastructure as Code and automation, such as Terraform.
  • Ability to take end-to-end ownership and operate independently in an early-stage, high-ambiguity environment.

Responsibilities

  • Own and evolve the cloud infrastructure, focusing on scalability, security, and reliability.
  • Design, build, and maintain end-to-end CI/CD pipelines and deployment workflows.
  • Lead and continuously improve containerized environments using Docker and Kubernetes.
  • Build and maintain Infrastructure as Code and automation frameworks, such as Terraform.
  • Own production readiness, including availability, monitoring, logging, alerting, and incident response.
  • Work with engineering and research teams to support development, testing, and production needs.
  • Drive improvements in system performance, reliability, and security posture.
  • Participate in and often lead architectural decisions and long-term infrastructure planning.
  • Act as a key operational owner in a fast-growing startup, setting best practices and standards.

Desired Qualifications

  • Experience working closely with research or security teams in production environments.
  • Background supporting data-heavy, distributed, or high-scale systems.
  • Familiarity with monitoring, observability, and alerting tools such as Prometheus, Grafana, or Datadog.

About the Company

Irregular

Red-teaming frontier AI models for safety

Irregular is an AI security lab that stress-tests frontier models before release. It runs red-team simulations on leading foundation models to find vulnerabilities and misuse risks, supplying testing methodologies, tools, and scoring to developers. It funds its work through large-scale research contracts with top AI labs and government clients, not consumer products. Its goal is to help AI creators deploy safe, responsible, and secure models at scale by identifying and mitigating security risks early.

Company size
11-50
Company stage
Series C
Total funding
$80M
Headquarters
Tel Aviv-Yafo, Israel
Founded
2023

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