Manager Site Reliability Engineering

Do you thrive on building reliability into AI infrastructure from the ground up?Prepare to lead SRE initiatives for AI solutions, optimizing GPU clusters and serverless inference, while ensuring global-scale performance and reliability.Join the Akamai Inference Team!

As Manager, Site Reliability Engineering, you will lead a team responsible for reliability across Akamai Inference Platform. In this leadership role, you will partner directly with product engineering teams to embed reliability into fast-moving products. Prepare to lead SRE initiatives for serverless inference while ensuring global-scale performance, observability, and operational resilience.

Partner with the best

As Manager, lead the team ensuring reliability for Akamai's Inference compute and platform services. Oversee hiring strategy, candidate evaluation, and interview coordination for SRE roles. Partner with product engineering teams to integrate reliability into rapidly evolving products. This role combines leadership with direct involvement in building and strengthening the team.

As a Manager of SRE, you will be accountable for:

• Leading, mentoring, and guiding an existing team of skilled SREs while fostering growth and promoting best practices across the organization.
• Implementing and refining SRE practices, including SLOs, SLIs, error budgets, capacity planning, fault management, and comprehensive observability strategies for monitoring.
• Championing and enforcing the Operational Readiness Review process for components while establishing quality gates and creating comprehensive runbooks.

Do what you love

To be successful in this role you will:

• Lead SRE, Systems, or Platform Engineering teams in cloud environments with demonstrated experience in engineering management during growth periods.
• Develop expertise in SRE methodologies, including SLOs and error budgets, while building or maintaining observability platforms for distributed systems.
• Have direct experience defining and running Operational Readiness Reviews or Production Readiness Reviews to validate system stability, monitoring, and failover capabilities before production launch.
• Understand AI infrastructure, serverless inference workflows, and manage multi-node GPU clusters effectively for optimized performance and scalability.
• Demonstrate ability to implement automation initiatives, reducing repetitive tasks while enhancing operational workflows and infrastructure efficiency effectively.
• Collaborate effectively with product teams and architects, ensuring communication supports system reliability while maintaining development efficiency and adaptability.

About us

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.

Our focus is simple:
Cloud and Edge: Running apps closer to users for instant performance.
Security: Neutralizing threats before they ever reach your data.
Content Delivery: Scaling the world's biggest moments without a glitch.
AI: Enabling our customers to build, secure, and scale AI apps on the world's most distributed cloud platform.

At Akamai, we don't just support the internet; we power and protect it, because behind every great digital experience is a massive hidden challenge. And we're the ones who solve it. When millions of people hit play or pay, Akamai ensures it just works.

Benefits at Akamai: We support your health, well-being, finances, and life beyond work. See our benefits.

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Akamai's FlexBase program is yet another way we show our commitment to providing employees with an exceptional workplace experience. It's not about telling employees where to work; it's about supporting employees to do their best work.

We trust our incredible employees to work in ways that suit them best: at home, in an office, or a combination of both.

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