Site Reliability Engineer, II

🕒 April 2

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Akamai Technologies

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🔒 Cybersecurity

🏢 Enterprise

📱 Media

Cybersecurity • Enterprise • Media

Akamai Technologies is a global edge platform and cloud services company that delivers content delivery, edge computing, and security solutions. The company operates one of the world’s largest distributed networks to accelerate and protect web, media, and application traffic, offering products for content delivery, DDoS protection, API and app security, bot management, edge compute (serverless/edge functions), and AI inference at the edge. Akamai also provides enterprise-focused security services (zero trust, identity and access management, secure internet access) and cloud/AI infrastructure tools, and has recently expanded capabilities through acquisitions (for example LayerX) to add browser-based AI usage control.

📋 Description

• Building and maintaining dashboards, alerts, and monitoring for inference workloads using Akamai's existing observability platform • Writing automation and tooling in Python or Go to reduce operational toil and improve system reliability • Participating in on-call rotations, responding to production incidents, and contributing to post-mortem analysis • Building and improving runbooks for inference-specific operational procedures, integrating into Akamai's existing incident management processes • Contributing to SLO tracking and reporting, identifying trends and areas for improvement • Supporting CI/CD pipeline maintenance, deployment safety checks, and rollback procedures • Collaborating with product engineering teams to troubleshoot complex problems across the stack

🎯 Requirements

• Have commercial experience in Site Reliability Engineering • Show proficiency in a programming language such as Python or Go, with experience creating automation solutions. • Have experience with Linux systems administration and the ability to troubleshoot complex infrastructure issues • Show familiarity with Kubernetes and containerization concepts • Have experience with monitoring and observability tools such as Prometheus, Grafana, or similar • Have exposure to CI/CD pipelines and infrastructure-as-code tools (Terraform, SaltStack, or equivalent) • Show a willingness to learn and grow, with genuine curiosity about AI infrastructure and distributed systems

🏖️ Benefits

• Your health • Your finances • Your family • Your time at work • Your time pursuing other endeavors