Senior DevOps Engineer

Key Skills

Ansible, AWS, DevOps, GitLab, Grafana, Helm, Infrastructure as code, Kubernetes-K8s, Machine learning techniques, MLOps tools, Puppet, Site Reliability Engineering (SRE), Terraform

Job Description

We are looking for a Senior DevOps Engineer to join our growing team at our headquarters. In this role, you will be part of an SRE and Infrastructure Automation 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.

What you’ll do:

• 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 of 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

What you need to know: 

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

Nice to haves but not required: 

• 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

Relativity Space offers competitive salary and equity, a generous vacation policy, an annual L&D stipend and more!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

The below-range represents Relativity Space’s current good-faith pay scale for this role. Relativity Space reserves the right to modify or update this range at any time.

Compensation is only one part of our entire total rewards package. To see some of the benefits & perks we offer, please visit here: https://px.sequoia.com/relativityspace

Hiring Range:

$130,000—$166,000 USD