Senior/Staff Site Reliability Engineer - Data Center

PathAI is on a mission to improve patient outcomes with AI-powered pathology. They are seeking a skilled senior/staff level Site Reliability Engineer focused on designing, building, and operating their hybrid cloud/on-prem environment.

Responsibilities:

• Advancing the state of our operations by implementing SRE best practices - focusing on users, monitoring, and automation
• Engineering infrastructure patterns for cloud environments in Amazon Web Services - building in security, reliability and scalability
• Designing, building, and operating our data center to support our rapidly growing Machine Learning team
• Integrating on-premises datacenter environments with existing cloud infrastructure to create a seamless hybrid cloud environment
• Improving the reliability and resilience of our infrastructure through root-cause analysis and reviewing gaps in designs, and implementations of our infrastructure
• Participating in platform on-call rotations and assisting with urgent incident response

Requirements:

• 5+ years of relevant experience
• Automation: You work hard to eliminate toil by automating everything through scripting, configuration management tools (Ansible), and code (Python/GoLang)
• You've built monitoring infrastructure with modern observability tools (Datadog/Grafana/Prometheus)
• You've worked with infrastructure as code (Terraform/Cloudformation)
• You've administered physical hardware stacks in production settings (iDRAC/IPMI/Nvidia UFM/Juniper Systems)
• You're opinionated on storage solutions and how they can be optimized for high performance workloads (Quobyte/S3/FSx/EFS)
• Familiarity with modern network designs and comfort operating across network layers
• Some experience and opinions on virtualization, containerization, or container orchestration platforms. (EKS/ClusterAPI/KVM)
• Operations experience: You've managed critical production infrastructure and are familiar with incident response, scaling, and rapid growth related challenges
• A bachelor's degree in Computer Science or equivalent experience
• An insatiable intellectual curiosity and the ability to learn quickly in a complex space
• Travel: Willingness to travel up to 25% of the time