We’re seeking a Senior or Principal Site Reliability Engineer (SRE) to become our first U.S. hire, based in the Bay Area. This is a pivotal role as we expand our operations across the West Coast. You’ll work closely with our European engineering teams to scale our high-performance compute (HPC) and cloud infrastructure globally. As our initial U.S.-based engineer, you’ll set the standard for reliability, automation, and operational excellence.

• Generous cash + equity compensation along with various fringe benefits (e.g., healthcare, lunch, wellbeing, etc.).
• Profitable operations, in addition to fast growth.
• Role that offers plenty of space to both make a business-critical impact and become a QA team lead or an engineer.
• Small yet mighty team of 65, challenging the status quo to positively impact the lives of many people.
• 27 nationalities in total, with 6 different ones in the management team.

• Work mode: Remote (with plans to open our first U.S. office next year)
• Seniority level: Senior
• Employment type: Full-time, permanent

• Ensure the reliability, scalability, and performance of HPC and cloud systems.

• Build and maintain automation, observability, and monitoring frameworks for compute clusters.

• Collaborate with ML, data, and infrastructure teams to deliver high-availability systems.

• Develop and enhance CI/CD pipelines, deployment workflows, and on-call processes.

• Participate in architecture design and long-term infrastructure strategy discussions.

• Help establish local infrastructure and contribute to the setup of our future San Francisco office.

• Play a key role in recruiting and mentoring as our U.S. team grows.

• 7+ years in SRE, DevOps, or Infrastructure Engineering—preferably in HPC or large-scale distributed systems.

• Linux expertise (Ubuntu or Debian preferred).

• Strong experience with scripting and automation (Python, Go, Bash).

• Proven ability with cloud platforms (AWS, GCP, Azure, or modern HPC providers such as CoreWeave, Lambda, Nebius).

• Deep understanding networking (DNS/TCP), and infrastructure-as-code tools (Terraform, Ansible).

• Experience managing Slurm-based HPC GPU clusters, diagnosing performance issues, and designing efficient HPC jobs.

• Familiarity with ML model training environments.

• Understanding of Kubernetes (nice to have)

1. Intro chat with our Talent Acquisition Partner - an initial online conversation to learn more about you and share details about the role.

2. Technical assignment - a short task (around 15 minutes) to understand your approach and problem-solving style.

3. Online technical interview with the Hiring Manager - a deeper discussion about your technical experience and ways of working.

4. In-person interview with one of our team members - a chance to get to know the team and our culture.

5. Final interview with our CTO & CEO – to align on vision and  expectations.