Staff SRE - AI Infrastructure & Reliability (Remote)

Rozgoo

United States

Hybrid

USD 186,000 - 251,000

Full time

14 days+

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Job summary

Coinbase is seeking a Staff Site Reliability Engineer to own reliability and automation of AI infrastructure in a remote-first environment. You will ensure observability, scale, and security for AI-powered services, with on-call duties and blameless postmortems guiding continuous improvement.

You will build tooling to accelerate deployments, collaborate with security and compliance teams, and drive measurable improvements in uptime and efficiency across AWS and containerized workloads.

Qualifications

  • 8+ years of experience automating and supporting cloud infrastructure (AWS) and network environments.
  • Proven experience deploying, managing, and troubleshooting containerized workloads using Docker and Kubernetes in production.
  • Proficiency in at least one scripting or programming language (Python, Bash, Ruby, or Go) and version control workflows using Git-based CI/CD pipelines.
  • Track record of leading incident response in environments with strict SLAs, including root cause analysis and blameless retros.
  • Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements.

Responsibilities

  • Own the reliability, monitoring, and incident response lifecycle for AI infrastructure services.
  • Build automation and tooling to streamline operational IT workflows and improve deployment velocity.
  • Partner with Infrastructure, Security, and Compliance teams to integrate surveillance tooling into deployment pipelines.
  • Strengthen observability and documentation standards for IT engineering.

Skills

On-call incident management
SLA awareness
Automation mindset
CI/CD pipelines
AI tooling usage

Tools

Terraform
Ansible
Docker
Kubernetes
Git
Go
Python
Bash
Ruby

Job description

Coinbase is seeking a Staff Site Reliability Engineer to own reliability and automation of AI infrastructure in a remote-first environment. You will ensure observability, scale, and security for AI-powered services, with on-call duties and blameless postmortems guiding continuous improvement.

You will build tooling to accelerate deployments, collaborate with security and compliance teams, and drive measurable improvements in uptime and efficiency across AWS and containerized workloads.

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