Senior Site Reliability Engineer, AI Platform

About the role:

In this opportunity as a Senior Site Reliability Engineer, AI Platform, you will: 

• Own and drive the long-term infrastructure strategy for the AI Platform team — designing systems and standards that are built to scale, remain reliable under growth, and reduce operational burden over time.
• Own and improve the operational posture of cloud-native services including containerized workloads, serverless functions, and managed ML infrastructure.
• Instrument services with observability tooling (Datadog, CloudWatch, or equivalent) covering metrics, logs, and distributed tracing.
• Establish and enforce SLAs and error budgets; drive incident response, post-mortems, and systemic reliability improvements.
• Collaborate with platform engineering to harden infrastructure against security findings (Wiz, Snyk) and maintain compliance with organizational standards.
• Design, build, and maintain CI/CD pipelines for AI Platform services, SDKs, and infrastructure, ensuring fast and reliable delivery across environments.
• Automate toil — infrastructure provisioning, security remediation workflows, environment management, and deployment operations.
• Mentor junior team members and raise the engineering bar across DevOps practices on the team.

About you:

You’re a fit for the role of Senior Site Reliability Engineer, AI Platform if you:

• Strong communication skills and the ability to work across engineering, security, and product teams and distill unclear requirements into clear engineering goals.
• 5+ years of experience in cloud and infrastructure engineering roles.
• Strong proficiency in Python and shell scripting, with hands-on experience building and deploying automation tools that eliminate toil and streamline DevOps workflows. Infrastructure-as-code experience with CloudFormation, Terraform, ARM or SAM is expected.
• Deep hands-on experience with cloud infrastructure is expected. 
• Solid experience with CI/CD tooling and infrastructure deployment automation.
• Familiar with containerization (Docker, Kubernetes) and cloud-native deployment patterns.

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What’s in it For You?

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