We are seeking a highly experienced Site Reliability Engineer (SRE) to shape the reliability, scalability, and performance of our Cloud platform and customer-facing applications. As an SRE, you will work closely with our software engineers and product teams to ensure our systems meet and exceed our internal and external customers' expectations.
Your key responsibilities will include designing, building, and maintaining scalable, highly available, and fault-tolerant infrastructures; operating systems and troubleshooting issues in production environments; implementing and improving monitoring, alerting, and incident response systems; and participating in on-call rotations to respond to incidents and perform root cause analysis.
In addition, you will drive continuous improvement in infrastructure automation, deployment, and orchestration; collaborate with software engineers to develop and implement solutions that enable safe and reproducible model-training experiments; help build a cloud platform offering an abstraction layer between science, engineering, and infrastructure; and design and develop new workflows and tooling to improve the reliability, availability, and performance of our systems.
To be successful in this role, you will need a Master's degree in Computer Science, Engineering, or a related field, and 5+ years of experience in a DevOps/SRE role. You should have strong experience with bare metal infrastructure and highly available distributed systems, exposure to site reliability issues in critical environments, and experience working against reliability KPIs (observability, alerting, SLAs).
You should also be hands-on with CI/CD, containerization, and orchestration tools (Docker, Kubernetes); knowledgeable about monitoring, logging, alerting, and observability tools (Prometheus, Grafana, ELK Stack, Datadog); familiar with infrastructure-as-code tools like Terraform or CloudFormation; proficient in scripting languages (Python, Go, Bash); and have a strong understanding of networking, security, and system administration concepts.
Experience in an AI/ML environment, high-performance computing (HPC) systems, and workload managers (Slurm) is a plus.
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