Applying statistical machine learning to investment management.

Senior Site Reliability Engineer

DevOps EngineerDevOps EngineerFull TimeRemoteTeam 51-200Since 2007H1B No SponsorCompany Site LinkedIn

Location

California

Posted

163 days ago

Salary

$205K - $235K / year

Bachelor Degree5 yrs expEnglishAnsibleAWSCloudGoogle Cloud PlatformGrafanaPrometheusPythonRubyTerraform

Job Description

• Help scale research compute cluster to meet growing needs. • Leverage engineering skills to ensure high degrees of uptime, reliability, and robustness. • Responsible for keeping research clusters available and performant. • Provide a world-class HPC platform for researchers focusing on machine learning problems at scale. • Support both on-prem and cloud infrastructure, ensuring best experiences for technical staff. • Collaborate with engineering teams to develop monitoring and telemetry improvements. • Design and oversee operational frameworks to ensure cluster operations meet SLAs.

Job Requirements

5+ years of experience in SRE or DevOps roles, preferably working as a senior engineer or tech lead.
Knowledge of HPC/batch compute frameworks (Slurm, Kueue, AWS/GCP Batch) and/or machine learning training systems (Kubeflow, MLflow, Horovod).
Ability to develop scripts and utilities of moderate complexity in a common scripting language (Python, Ruby, etc.)
Familiarity with infrastructure-as-code and configuration management tools (Terraform, Ansible).
Experience with cloud infrastructure (AWS or GCP).
Familiarity designing and implementing modern observability stacks (Prometheus, Grafana, Loki, ELK, OpenTelemetry).
Experience with distributed storage technologies (Lustre, Ceph, S3).
Embodies a "system engineer" rather than "system administrator" mindset, thinking systematically and leveraging automation.
Bachelor degree in computer science or equivalent experience.