Jobs · Engineering · California

Sr DevOps Engineer

Relativity Space · Long Beach, CA · Yesterday
On-siteEngineering$140k–$214k/yrFull-time

About the role

We are looking for a Senior SRE / DevOps Engineer to join our growing team at our headquarters. In this role, you will be part of an SRE team supporting our company’s efforts in expanding our automation and development platform across our manufacturing teams. Your mission will be to design and implement our platform to enable seamless software deployments, maintenance, security and scalability, to champion and instill best practices and tools throughout the company and working closely with development and teams to support best practices and unlock scaled automation.

Responsibilities

  • Support infrastructural growth across multiple sites (Cloud and On-Premises)
  • Ensure continued up-time on our services, processes, and infrastructure throughout the company and across all our sites
  • Develop roadmaps for automated software deployments across the company
  • Champion automation to reduce toil and increase development velocity
  • Help define and instrument Service-Level Objectives
  • Leverage Configuration Management to build and maintain consistency across services
  • Apply infrastructure-as-code methodologies across configuration, orchestration, and elsewhere

Requirements

  • 3+ years of Similar Site Reliability Engineering, Automation or DevOps role
  • Kubernetes ecosystem experience/familiarity
  • Proficient in cloud services and architectures (GCP preferred)
  • Knowledge of deployment and infrastructure-as-code frameworks (e.g., Helm, Terraform)

Nice to have

  • Advanced proficiency with Kubernetes
  • Experience with deployments across cloud and on-premises environments
  • Familiarity with GitLab
  • Heavy experience with production monitoring, observability best practices and tools, log aggregation/analysis (e.g., Prometheus, Grafana, Loki)
  • Experience with jFrog Artifactory
  • Knowledge of Configuration Management tools (e.g., Ansible, Puppet, others)
  • Experience with MLOps or Machine Learning Frameworks

Pay

Hiring Range: $140,000—$214,000 USD

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