- Deep proficiency in Kubernetes design patterns, including Operators and CRDs
- Experience building a regional technical team from a small headcount into a durable function with defined coverage, on-call, and ramp
- Familiarity with data engineering and MLOps tooling (e.g., Ray, Kubeflow, Slurm, Airflow, SageMaker, Vertex AI)
- Experience with GPU infrastructure and distributed training workloads
- SaaS, web service, or distributed systems operations experience at scale
- Experience with air-gapped, sovereign, or regulated-industry deployments
Wondering if you're a good fit?
We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk.
- You love diving into infrastructure problems and solving them systematically — and you get more satisfaction from your team solving them than from solving them alone
- You're curious about how to scale complex ML systems in production environments
- You're an expert in building and running containerized, distributed systems
- You'd rather write the runbook once than answer the same escalation five times
- You're comfortable being the calm one on a customer bridge call at 2am, and the one who makes sure it doesn't happen again
Why Us?
We work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:
- Be Curious at Your Core
- Act Like an Owner
- Empower Employees
- Deliver Best-in-Class Client Experiences
- Achieve More Together
We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we prepare for takeoff, the growth opportunities within the organization continue to expand. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!
The base salary range for this role is $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
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