SRE II: AI Inference Cloud Reliability & Automation

Akamai Technologies, Inc.; Columbus (OH); On-site; USD 95,000 - 171,000; Full time

Benefits offered by this job

Healthcare

401K savings plan

Parental leave

Employee assistance program

Job summary

Akamai Technologies, Inc. is seeking a Site Reliability Engineer II to join its Inference Cloud Team based in Columbus, Ohio. This role entails working collaboratively to build and maintain dashboards while enhancing automation for AI workloads. Successful candidates will have expertise in Linux systems, coding in Python or Go, and familiarity with Kubernetes.

The job offers an annual salary range of $95,000 - $171,000, and includes comprehensive benefits such as healthcare, 401K, PTO, and other family-friendly policies.

Qualifications

• 2+ years of experience in Site Reliability Engineering.
• Demonstrated coding ability in Python or Go.
• Experience with Linux systems and troubleshooting complex issues.
• Familiarity with Kubernetes and containerization.
• Experience with monitoring and observability tools.
• Exposure to CI/CD pipelines and infrastructure-as-code tools.

Responsibilities

• Build and maintain dashboards and monitoring for inference workloads.
• Write automation in Python or Go to improve system reliability.
• Build runbooks for inference-specific operational procedures.
• Contribute to SLO tracking and reporting.
• Support CI/CD pipeline maintenance and deployment safety checks.
• Collaborate with product engineering teams to troubleshoot issues.
• Participate in on-call rotations and respond to production incidents.

Skills

Automation

Linux systems administration

Site Reliability Engineering

Python

Go

Kubernetes

Monitoring tools (Prometheus, Grafana)

CI/CD pipelines

Infrastructure-as-code tools (Terraform, SaltStack)

Education

Bachelor's Degree or equivalent experience

Job description

Akamai Technologies, Inc. is seeking a Site Reliability Engineer II to join its Inference Cloud Team based in Columbus, Ohio. This role entails working collaboratively to build and maintain dashboards while enhancing automation for AI workloads. Successful candidates will have expertise in Linux systems, coding in Python or Go, and familiarity with Kubernetes.

The job offers an annual salary range of $95,000 - $171,000, and includes comprehensive benefits such as healthcare, 401K, PTO, and other family-friendly policies.