Mithril

Job Summary:
Mithril is an AI infrastructure platform focused on making GPU compute accessible for leading enterprises and AI startups. The Site Reliability Engineer will contribute to the stability and performance of Mithril's global GPU orchestration platform, building automation and tooling for multi-cloud environments.
Responsibilities:
• Implement and own SLIs and SLOs across Mithril's API layer and internal orchestration services to ensure customer commitments are met.
• Partner with Product and Platform teams to ensure new features are designed for operability, reliability, and performance from the start.
• Participate in an on-call rotation; drive root cause analysis (RCA) for production incidents and implement durable fixes to prevent recurrence.
• Build and maintain dashboards, alerts, and distributed tracing within Mithril's monitoring stack to provide high-granularity visibility into our multi-cloud infrastructure.
• Own the tooling that surfaces supply-side signal — GPU availability, provider health, reservation fill rates — to both engineering and operations teams.
• Develop and maintain Terraform/Pulumi modules and Kubernetes configurations to manage Mithril's growing multi-cloud provider footprint.
• Write clean, maintainable Python (or Go) to automate repetitive operational tasks — from provider API reconciliation to automated health checks and capacity rebalancing.
• Assist in managing GPU capacity across providers, ensuring the marketplace can dynamically respond to supply fluctuations and customer demand signals.
• Surface capacity constraints and failure modes early; contribute to the tooling that enables Mithril to make fast, data-driven supply decisions.
Qualifications:
Required:
• 3+ years of experience in SRE, Production Engineering, or Infrastructure roles at a high-growth technology company.
• Hands-on Kubernetes experience: comfortable managing clusters, deployments, and troubleshooting production incidents in a multi-tenant environment.
• Cloud proficiency in at least one major provider (AWS, GCP, or Azure), including practical understanding of cloud networking fundamentals (VPC, DNS, load balancing, security groups).
• Coding ability: proficiency in Python or equivalent (Go, Rust, etc.) — you build tools and services, not just scripts. Willing to pick up new languages as needed.
• Linux fundamentals: strong command of Linux systems, TCP/IP networking, and security best practices.
• Disciplined troubleshooter: calm under pressure during production incidents, with a rigorous approach to RCA and long-term remediation.
• Clear communicator: able to document processes and explain technical trade-offs to engineering and non-engineering teammates.
Preferred:
• Experience with GPU/TPU-accelerated workloads or AI/ML infrastructure.
• Exposure to multi-cloud deployments or niche/specialized cloud providers (e.g., CoreWeave, Lambda Labs, Nebius).
• Familiarity with distributed systems concepts — service discovery, circuit breakers, consensus protocols.
• Production experience with Prometheus, Grafana, or OpenTelemetry.
• Prior experience in a high-growth startup environment where infrastructure scope expands faster than headcount.
Company:
Mithril is a public cloud supported by an orchestration platform designed to simplify the utilization of AI computing resources. Founded in 2022, the company is headquartered in Palo Alto, USA, with a team of 11-50 employees. The company is currently Early Stage.