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Staff Site Reliability Engineer - Data Center

Designs, builds, and operates data centers and hybrid cloud infrastructure for ML workloads, implementing SRE practices with automation, monitoring, and reliability improvements. Requires 8+ years experience in infrastructure ops, IaC, and observability tools.

166k – 224kBoston, MADevOps / SREHybrid8+ YOE

About the role

What You’ll Do

  • 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.

What You Bring

  • 8+ years of relevant experience.
  • Automation: You work hard to eliminate toil by automating everything through scripting, configuration management tools (Ansible), and code (Python/Go).
  • 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.

Annual Pay Range: $165,750 - $224,450 Not Overtime Eligible Eligible for Equity

Skills

AnsiblePythonGoDatadogGrafanaPrometheusTerraformCloudFormationIdracIpmiNvidia UfmJuniper SystemsQuobyteS3Fsx For Lustre

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