Site Reliability Engineer II - Akamai Technologies

Are you passionate about cutting-edge AI infrastructure?

Do you want to build your SRE career on one of the most exciting platforms in cloud computing?

Join the Akamai Inference Cloud Team

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

Partner with the best

As an SRE II, responsibilities include automation, monitoring, incident response, and working collaboratively with skilled team members. Candidates should possess expertise in Linux systems, automation, and SRE practices. Daily activities involve coding, improving dashboards, enhancing alerts, and minimizing repetitive tasks. Opportunities exist to focus on GPU infrastructure, Kubernetes, and ensuring reliability for AI workloads within Akamai's serverless inference platform.

As a Site Reliability Engineer II, you will be responsible for:

• 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

Do what you love

To be successful in this role you will:

• 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

Work in a way that works for you

FlexBase, Akamai's Global Flexible Working Program, is based on the principles that are helping us create the best workplace in the world. When our colleagues said that flexible working was important to them, we listened. We also know fle