Site Reliability Engineer, Infrastructure Platforms — AMER (Intermediate to Senior Staff)

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Work arrangement: Remote
Where applicants may be: Applicants in United States only
Salary: Not specified
Apply by: Not specified
Employment type: Full-time
Experience: Not specified

Published3h ago

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About This Role

GitLab operates an intelligent orchestration platform for DevSecOps, helping organizations accelerate digital transformation, enhance developer productivity, and improve operational efficiency. The company is seeking Site Reliability Engineers across its Infrastructure Platforms division, ranging from intermediate levels up to senior staff, for a remote position. This role focuses on maintaining the reliability, scalability, and efficiency of user-facing production systems. Candidates are evaluated holistically rather than applying to a specific team initially,…

Job Description

This role focuses on maintaining the reliability, scalability, and efficiency of user-facing production systems. Candidates are evaluated holistically rather than applying to a specific team initially, ensuring placement matches both their background and active hiring needs.

The engineering teams combine software engineering with operational practices, using automation, infrastructure as code, and observability tooling to manage services at scale. Daily workflows incorporate artificial intelligence as a productivity multiplier. The hiring process consists of a recruiter screen, core technical assessment, hiring manager interview, peer technical discussion, and a skip-level interview.

Applicants must be based in the United States or Canada. The role suits engineers with strong technical fundamentals, a growth mindset, and experience in cloud environments, Kubernetes, and infrastructure as code.

Responsibilities

Maintain the reliability, scalability, and efficiency of user-facing services and production systems
Develop automation and tooling to eliminate manual toil and establish repeatable workflows driven by infrastructure as code
Operate and troubleshoot production systems running on Kubernetes, covering deployments, scaling, and rollouts
Write and maintain infrastructure as code, deploying modifications safely through CI/CD and GitOps
Participate in on-call rotations, evaluate alerts, execute runbooks, and escalate issues appropriately
Contribute to observability systems by utilizing metrics, logs, SLOs, and SLIs to detect issues proactively
Engage in incident response and post-incident reviews to convert learnings into operational and automation enhancements
Document architecture decisions, runbooks, and reviews to establish repeatable team practices

Requirements

Experience ensuring production system reliability by merging operational mindset with software engineering practices
Demonstrated history of building new infrastructure tooling and automation from scratch, such as Terraform modules or Kubernetes operators
Ability to read, debug, and reason about code written in languages such as Go or Ruby
Practical experience with infrastructure as code and Kubernetes ecosystems
Hands-on background working with at least one major cloud provider, specifically GCP or AWS
Familiarity with observability metrics, logging, alerting, and SLOs
Comfort with on-call duties and structured incident response under pressure
Strong written communication skills suited for an asynchronous, distributed work environment

Core Skills

AWS Kubernetes Git Communication Excel Sales Recruitment

Benefits

Flexible paid time off
Team member resource groups
Equity compensation and employee stock purchase plan
Growth and development fund
Parental leave

Frequently Asked Questions

Answers are based only on the employer’s listing; where it doesn’t say, neither do we.

Is this position remote?

Yes, this role is remote, though candidates are restricted to being based in the United States or Canada.

What is the employment type?

The position is full-time.

What is the salary range for this role?

The source posting does not specify a global salary range, though it notes a base salary range of $126,400 to $314,400 USD specifically for United States residents based on level and location.

How does the SRE interview process work?

The process includes a recruiter screen, a shared core technical assessment on system architecture and incident review, a hiring manager interview, a peer technical interview with the specific team, and a skip-level interview focused on values.