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 – 224k/yr
Hybrid8+ YOEDevOps / SRE
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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