Improving patient outcomes with AI-powered pathology.

Staff Site Reliability Engineer

DevOps EngineerDevOps EngineerFull TimeRemoteTeam 501-1,000Since 2016H1B SponsorCompany Site LinkedIn

Location

Massachusetts

Posted

62 days ago

Salary

$165.8K - $224.5K / year

Bachelor Degree8 yrs expEnglishAnsibleAWSCloudGrafanaPrometheusPythonTerraform

Job Description

• 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.

Job Requirements

8+ 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.