Site Reliability Engineer II - Build Resilient Systems

Akamai Technologies; Cambridge (MA); Remote; USD 95,000 - 171,000; Full time

Benefits offered by this job

Flexible working options

Healthcare benefits

401K savings plan

Paid time off (PTO)

Parental leave

Job summary

A leading cloud computing company seeks a Site Reliability Engineer II to join their Inference Cloud Team. The role involves building dashboards, writing automation in Python or Go, and collaborating with engineering teams to ensure AI infrastructure reliability. Candidates should have 2+ years of experience in SRE, strong Linux and Kubernetes skills, and be eager to learn. This position offers a flexible working environment and a salary range of $95,000 - $171,000 annually.

Qualifications

• 2+ years in Site Reliability Engineering.
• Coding ability in Python or Go.
• Experience with Linux systems administration.
• Familiarity with Kubernetes and containerization.
• Experience with monitoring and observability tools.
• Exposure to CI/CD and infrastructure-as-code tools.

Responsibilities

• Build and maintain dashboards and alerts.
• Write automation and tooling to improve reliability.
• Contribute to SLO tracking and reporting.
• Support CI/CD pipeline maintenance.
• Collaborate with teams to troubleshoot issues.
• Participate in on-call rotations and incident responses.

Skills

Linux systems

Python

Go

Kubernetes

Monitoring tools

CI/CD pipelines

Education

Bachelor's Degree or equivalent experience

Tools

Prometheus

Grafana

Terraform

SaltStack

Job description

A leading cloud computing company seeks a Site Reliability Engineer II to join their Inference Cloud Team. The role involves building dashboards, writing automation in Python or Go, and collaborating with engineering teams to ensure AI infrastructure reliability. Candidates should have 2+ years of experience in SRE, strong Linux and Kubernetes skills, and be eager to learn. This position offers a flexible working environment and a salary range of $95,000 - $171,000 annually.