Software Engineer, Infrastructure

Altara • San Francisco, CA

1d • Onsite

About The Position

We’re building the scientific intelligence platform for the physical world, to accelerate breakthroughs in semiconductors, batteries, advanced materials, aerospace, and beyond. These industries represent trillions in spend, but are still trapped in outdated software. We’re changing that by building the intelligence layer to help scientists and engineers move faster and solve core problems -- R&D through manufacturing. We have a once-in-a-generation opportunity to create a category-defining company at the intersection of AI and the physical sciences. And we’re building a world-class team to do it. We recently raised a seed round led by Greylock, with participation from Neo, BoxGroup, Liquid 2, and top angels including Jeff Dean + leadership at OpenAI and AMD. Our team (ex-Applied Intuition, Glean, SpaceX, Warp, Jane Street, Verkada) works in-person in San Francisco. Our office is located walking distance from 4th and King Caltrain station.

Requirements

• Operating production Kubernetes and cloud infrastructure.
• Delivering on-prem or customer-hosted software
• Strong Linux, networking and infrastructure-as-code fundamentals
• Independently owning incidents and communicating with customers
• Working with the following key technologies: Public cloud/AWS etc, Managed Kubernetes knowledge, IaC tools like Terraform
• GitOps/Argo CD, Linux, networking, IAM and observability tooling
• On-prem deployment; air-gapped experience is a bonus

Nice To Haves

• Worked at an early stage startup, founded a company, or plan to start one someday.
• Air-gapped or restricted-network deployment experience
• Multi-cloud, hybrid-cloud or enterprise security experience
• Experience supporting data/AI infrastructure
• Experience or deep curiosity in science.

Responsibilities

• Architect and own complex customer-hosted cloud deployments that run scalably and reliably across diverse customer environments.
• Triage, debug, and resolve high-severity issues end-to-end, building bulletproof automated safeguards and observability to permanently prevent regressions.
• Design fully automated, repeatable deployment pipelines with deep observability to proactively surface edge cases before they hit production.
• Drive developer velocity and build internal tooling that empower the engineering team to ship fast without sacrificing reliability or security.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed