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DevOps Engineer, Infrastructure & Platforms

Own the infrastructure and CI/CD pipelines for a cutting-edge AI lab focused on chip design.

Location
Palo Alto, United States
Compensation
Not disclosed
Level
mid
Type
full time

Posted by employer 1 day ago

First seen on Joblaze 2 hours ago

Last verified on the company career page 2 hours ago

Skills & Technologies

What you'll build

  • Design and build self-managed cloud platform
  • Own platform deployments across environments
  • Implement CI/CD pipelines in GitHub Actions
  • Architect scalable AI tooling
  • Build observability stack

Must have

  • 4+ years of hands-on infrastructure/platform engineering
  • Owned production IaC architecture
  • Designed and implemented production CI/CD pipelines
  • Prior experience with observability tooling

Nice to have

  • Hands-on experience with GCP
  • Experience running ML infrastructure
  • Familiarity with LLM observability tooling
  • Security depth in compliance work
  • Early-stage startup experience

Requirements

Experience
4+ years
Education
Bachelor's degree

Not disclosed in this posting: compensation, work arrangement, visa sponsorship.

Joblaze summary

In this role, the DevOps Engineer at Ricursive Intelligence is responsible for managing and enhancing the infrastructure that supports advanced AI research, including cloud platforms and CI/CD pipelines. Key skills include expertise in infrastructure-as-code, continuous integration, and observability tooling, with a focus on security and scalability. This position is ideal for someone with significant experience in infrastructure engineering, particularly in fast-paced environments, who can adapt to evolving technical demands. The team is composed of top-tier talent from leading tech companies, contributing to a high-performance culture.

Joblaze insights

  • Listed today — first seen on Joblaze October 1, 2026. Last confirmed on Ricursive Intelligence's careers page October 1, 2026.
  • Terraform appears in 60% of 110 comparable mid devops/sre roles in United States; GitHub Actions appears in 11.8% of 110 comparable mid devops/sre roles in United States.

Quick facts

How much experience is required?
At least 4 years of relevant experience for this DevOps Engineer, Infrastructure & Platforms role.
What's the tech stack?
Joblaze extracted these technologies from the posting: GCP, GitHub Actions, Kubernetes, Terraform.
What seniority level is this role?
Ricursive Intelligence targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this DevOps Engineer, Infrastructure & Platforms role at Ricursive Intelligence.

From the original posting

ABOUT THE ROLE

Ricursive's research runs on infrastructure that has to keep pace with the research itself: ML training and evaluation workloads, EDA tool flows, and a fast-growing team that needs everything from cloud environments to developer workflows to just work. This role owns that foundation — the pipelines, platforms, and systems that let a small team move like a much larger one.

You will own our infrastructure-as-code (IaC), continuous integration & deployment (CI/CD), and cloud platform end-to-end that keeps the lab running day to day. Additionally, you will be collaborating closely with the team to build out the right observability stack for their needs while working around environment security limitations.

WHAT YOU WILL DO

• Design, build out and extend our self-managed cloud platform with Terraform, setting the IaC patterns the rest of the team builds on.

• Own our platform deployments spanning various environments day to day, including performance, security, reliability, scalability, and adapting to evolving business requirements.

• Design, implement, and operate CI/CD pipelines in GitHub Actions for mission-critical repositories, working within strict security and deployment restrictions.

• Architect scalable AI tooling and developer experience workflows across multiple distinct user environments, working closely with our physical design (PD) engineers.

• Build out the observability stack with the team, covering pipeline health, application-level metrics, and ML workloads.

MINIMUM QUALIFICATIONS

• BS in CS, CE, EE, or a closely related technical field, or equivalent practical experience.

• 4+ years of hands-on infrastructure/platform engineering, with ownership of systems others depend on.

• Owned production IaC architecture including maintenance and new features, not just consumed modules.

• Designed and implemented production CI/CD pipelines that build and ship reproducible artifacts, with attention to performance, scalability, and security.

• Prior experience with observability tooling for monitoring pipeline health as well as application-level metrics.

PREFERRED QUALIFICATIONS

• Hands-on experience with GCP, Kubernetes, and GitHub Actions, including custom runner setups.

• Experience running ML infrastructure for training and evaluation workloads, including GPU/TPU compute.

• Familiarity with LLM observability tooling: tracing, evaluations, and cost & latency monitoring.

• Security depth: dependency supply-chain hardening, OIDC-based auth, least-privilege secrets, and compliance work such as SOC 2 or penetration testing.

• Early-stage startup experience: built infrastructure from zero or near-zero.

Standard company text repeated across Ricursive Intelligence's postings is omitted here.

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