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Irregular

Senior DevOps Engineer

  • Seen live on Irregular's site 3 days ago
  • Senior
Pay
Not stated
Location
Tel Aviv, Israel
Open for
11+ days
First seen
Oct 24, 2026

Posting record

No flags

Open 11+ days

The posting's record, oldest first
  1. Irregular's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Irregular, so its true age is longer.

Last checked Nov 1, 2026.

How well do you match?

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What it asks of you

5+ years of experience
“5+ years of hands-on experience as a DevOps / Infrastructure Engineer in production environments” (quoted from the posting)

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

About Irregular

Irregular is the first frontier security lab with the mission of protecting the world in the time of increasingly capable and sophisticated AI systems. We build next-generation defenses through high-fidelity research platforms that simulate and monitor real-world AI security scenarios.

As AI systems become more powerful, we focus on staying ahead of emerging threats and vulnerabilities, ensuring these transformative technologies can be deployed safely and securely.

About the Role

As Irregular’s Senior DevOps Engineer, you will play a critical role in shaping our infrastructure, deployment pipelines, and operational foundations. This is a hands-on, high-ownership role with real influence over how the company builds, deploys, and operates its systems in production.

You’ll be building infrastructure that supports work with frontier AI labs such as Google, Anthropic, and OpenAI, and meets the scale, security, and reliability standards this ecosystem requires. This includes architecting ephemeral, on-demand environments, and spinning up and tearing down multi-service deployments (VPCs, compute, serverless components, and more) as needed.

You will work closely with research, engineering, security, and leadership to design and maintain scalable infrastructure, improve system reliability, and enable fast, safe, and secure product delivery.

Key Responsibilities

  • Own and evolve Irregular’s cloud infrastructure, with a strong focus on scalability, security, and reliability
  • Design, build, and maintain end-to-end CI/CD pipelines and deployment workflows
  • Lead and continuously improve containerized environments (Docker, Kubernetes)
  • Build and maintain Infrastructure as Code and automation frameworks (e.g., Terraform)
  • Own production readiness: availability, monitoring, logging, alerting, and incident response
  • Work closely with engineering and research teams to support development, testing, and production needs
  • Drive improvements in system performance, reliability, and security posture
  • Take part 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

Requirements

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

Nice to Have

  • 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 (e.g., Prometheus, Grafana, Datadog)

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