Senior Site Reliability Engineer, Core AI Infrastructure

About the role

In this role, you will be part of a high-performing team focused on AI transformation, ensuring the reliability of critical AI infrastructure. You will manage the entire lifecycle of incident response and monitoring for AWS deployment pipelines while also developing automation tools to enhance operational workflows.

You will collaborate closely with the Infrastructure team to improve CI/CD frameworks and integrate security measures. Success in this position means effectively managing containerized workloads and leading incident responses while maintaining high standards of observability and documentation.

The base salary ranges from $112,000 to $188,000, depending on location.

Skills that matter here

• AWS: You will automate and support AWS cloud infrastructure.
• Terraform: This role requires hands-on experience with Terraform for infrastructure-as-code.
• Docker: You will manage containerized workloads using Docker in production.
• Kubernetes: Experience with Kubernetes is essential for managing container orchestration.
• Python: Proficiency in Python is needed for developing full-stack applications.
• Git: You will utilize Git for version control in CI/CD pipelines.

Who this role suits

• Has over five years of experience in cloud infrastructure and automation.
• Comfortable leading incident responses and conducting blameless retrospectives.
• Proficient in multiple programming languages and infrastructure-as-code tools.
• Values collaboration and is eager to work in a remote-first environment with quarterly in-person sessions.

From the employer

What you’ll be doing:

• Own the reliability, monitoring, and incident response lifecycle for AI infrastructure services, including on-call support for AWS deployment pipelines, root cause analysis, and blameless retros.
• Build automation and tooling to streamline operational IT workflows, eliminate manual tasks, and improve deployment velocity across CI/CD frameworks and Kubernetes environments.
• Partner with the Coinbase Infrastructure team to extend CI/CD frameworks supporting IT services and enterprise network platforms, and with Security and Compliance to integrate surveillance tooling into deployment pipelines.
• Strengthen observability and documentation standards across IT engineering by defining metrics, implementing monitoring solutions, and maintaining technical documentation that sets a standard of excellence.
• Develop full-stack applications that power internal AI products and infrastructure with Go or Python.

What we look for in you:

• 5+ years of experience automating and supporting cloud infrastructure (AWS) and network environments, with hands-on use of infrastructure-as-code tools (Terraform, Ansible, Chef, Puppet, or Salt).
• Proven experience deploying, managing, and troubleshooting containerized workloads using Docker and Kubernetes in production environments.
• 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, blameless retros, and measurable reliability improvements.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

What we offer:

• Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
• Annual base salary range (excluding equity and bonus): $186,065 — $218,900 USD.