Site Reliability Engineer

Highlights

• Shape reliability and scalability of frontier AI platform and customer apps.
• Enable seamless replication of work environments across multiple HPC clusters.
• Reduce operational toil to ensure high availability for inference and ML workloads.

What they offer

• Healthcare coverage
• Parental leave
• Retirement plans
• Relocation support
• Wellness programs
• Meal and transportation allowances

Ideal candidate

Collaborative, low-ego engineer passionate about reliability and AI impact who thrives in fast-moving teams and cares about reducing toil, ensuring high availability, and enabling researchers to work seamlessly.

Requirements

• Master's degree in Computer Science, Engineering, or related field
• 7+ years in DevOps or SRE with cloud computing and distributed systems expertise
• Hands-on experience with root cause analysis, production troubleshooting and on-call rotations
• Proficiency with reliability KPIs such as observability, alerting and SLAs
• Experience with CI/CD, containerization and orchestration like Docker and Kubernetes
• Knowledge of monitoring and observability tools such as Prometheus, Grafana, ELK Stack or Datadog
• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation
• Proficiency in scripting languages Python, Go, Bash and software development best practices
• Solid grasp of networking, security and system administration concepts
• Excellent problem-solving and communication skills with collaborative approach
• Experience in AI/ML environment, HPC systems or AI-oriented solutions is a plus