Senior Site Reliability Engineer

🕒 April 2

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 45%

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Akamai Technologies

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🔒 Cybersecurity

💰 Post-IPO Equity on 2001-07

Cloud Computing • Cybersecurity • Content Delivery

Akamai Technologies is a leading cloud services provider that specializes in delivering security, cloud computing, and content delivery solutions. It offers a range of services such as API security, DDoS protection, and performance optimization for web applications, ensuring secure and reliable user experiences. With a robust global infrastructure, Akamai empowers businesses to streamline their digital presence while safeguarding against various cyber threats and enhancing application performance.

📋 Description

• Owning reliability workstreams for Akamai's serverless inference platform • Building automation and tooling • Contributing to architecture and operational decisions • 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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