Senior Site Reliability Engineer

🕒 April 2

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 53%

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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 observability for AI workloads, including telemetry, dashboards, alerts, SLO/SLI tracking, and driving improvements when targets are missed • Writing automation and tooling to reduce operational toil, improve deployment safety, and accelerate incident response • Integrating AI workloads into Akamai's existing incident management processes, building runbooks, participating in on-call rotations, and conducting blameless post-mortems • Building and maintaining CI/CD integrations, deployment safety checks, and rollback automation • Collaborating with product engineering teams to improve reliability, contribute to architecture decisions, and ensure operational readiness for product releases • Contributing to capacity planning, autoscaling configuration, and workload scheduling for AI compute infrastructure

🎯 Requirements

• Demonstrate expertise in SRE, infrastructure, or platform engineering, managing large-scale distributed systems with extensive operational experience. • Demonstrate expertise in Kubernetes and large-scale containerization systems. • Define SLOs and work with observability tools like Prometheus, Grafana, and distributed tracing to enhance system monitoring. • Demonstrate proficiency in Python or Go for automation, CI/CD pipelines, deployment safety, and infrastructure-as-code like Terraform. • Interest in or experience with AI/ML infrastructure, model serving, or GPU workloads • Resolve issues independently while maintaining accountability throughout the process. • Demonstrate accountability for reliability, develop automation and monitoring, and collaborate effectively with an engineering team unfamiliar with SRE practices.

🏖️ Benefits

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

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