Senior Site Reliability Engineer

Technologies we use

Expected

• Kubernetes
• Prometheus
• Grafana
• Python
• Go

Optional

• Selenium

Operating system

• Linux

About the project

The Akamai Inference Cloud team is part of Akamai's Cloud Technology Group. We design, implement, deploy and operate AI platforms that enable customers to run inference models and developers to create AI applications with unmatched performance, compliance, and economics.

As a Senior SRE, responsibilities include owning reliability workstreams for Akamai's serverless inference platform, building automation and tooling, and contributing to architecture and operational decisions. Opportunities exist to take ownership of critical reliability problems end-to-end, partner with product engineering teams, and develop expertise in GPU infrastructure, Kubernetes at scale, and AI inference workloads.

Your responsibilities

• 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

Our 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.

This is how we work on a project

• Continuous Deployment
• Continuous Integration

Benefits

• sharing the costs of sports activities
• private medical care
• life insurance
• remote work opportunities
• flexible working time
• dental care
• corporate gym
• retirement pension plan
• corporate library
• no dress code
• coffee / tea
• parking space for employees
• leisure zone
• extra social benefits
• holiday funds
• employee referral program
• extra leave

Recruitment stages

• HR Interview
• Manager Interview
• Technical Interview
• Panel Interview I
• Panel Interview II

Akamai Technologies

At Akamai, we make life better for billions of people, trillions of times a day.

Whether you're streaming live events, scrolling social media, watching your favorite series, or managing your savings, we're the engine behind the scenes. We provide the world's most distributed platform from Cloud to Edge to help the giants of the digital world work faster and stay more secure, making the internet a better experience for everyone.