Senior Principal Site Reliability Engineer

🕒 March 27

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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

• Defining the reliability architecture for Akamai's AI compute and platform services, including SLO frameworks, fault tolerance patterns, and capacity planning models • Hands-on building of automation and tooling that reduces operational toil and scales the SRE team's impact • Designing observability strategy by leveraging Akamai's existing platform to build the telemetry, dashboards, alerts, and GPU-specific monitoring needed for AI workloads • Architecting deployment safety practices including progressive rollouts, canary analysis, rollback automation, and change safety processes • Influencing product engineering architecture and design decisions, embedding reliability into the development lifecycle at the system level • Mentoring and elevating other SREs through design reviews, code reviews, and hands-on problem-solving, setting the technical bar for the team

🎯 Requirements

• Have extensive experience in SRE, platform engineering, and/or infrastructure engineering, with demonstrated impact at a principal or staff level. • Demonstrate extensive Kubernetes expertise, managing autoscaling, resource scheduling, and container orchestration for handling compute-intensive workloads effectively. • Develop programming expertise in Python or Go, focusing on creating automation and tooling for production-grade environments. • Demonstrate expertise in programming with Python and/or Go, coupled with experience creating production-grade automation, tooling, and platform services. • Influence cross-team technical decisions, mentor engineers, elevate technical standards, and collaborate effectively with product engineering teams. • Gain experience in AI/ML infrastructure, model deployment, or GPU workloads to enhance technical expertise and practical understanding. • Design reliability into innovative platforms at the system level while building influence with product engineering teams through technical expertise.

🏖️ Benefits

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