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Akamai Technologies

engineering opportunity

Senior II Site Reliability Engineer

Lead reliability workstreams for a serverless AI inference platform, focusing on observability strategy and production-grade automation. Partner with engineering teams to influence architecture and mentor other SREs to improve operational readiness.

Cambridge, Massachusetts, United StatesremoteFULL_TIME

Posted

About the role

What will you do at Akamai Technologies?

Do you want to shape reliability practices for a new AI inference platform?

Are you a senior technical leader who drives solutions across teams?

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

In this role, you'll lead reliability workstreams for Akamai's serverless

inference platform, design SRE tooling and automation, and drive technical

decisions. Opportunities exist to mentor other SREs, influence architecture

decisions with product engineering teams, and shape SRE practices for AI

inference workloads and GPU infrastructure at scale.

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

* Taking ownership of observability strategy for the serverless inference

platform, designing telemetry, dashboards, and alerts, defining SLO/SLI

frameworks, and driving improvements when targets are missed

* Building production-grade automation and tooling that reduces operational

toil, improves incident response, and sets patterns that other SREs adopt

* Owning incident management integration for inference workloads, designing

frameworks, leading incident response during on-call rotations, and driving

systemic improvements from post-mortems

* Defining and implementing deployment safety practices including progressive

rollouts, canary analysis, and rollback automation, establishing standards

for the team

* Partnering with product engineering teams to influence architecture

decisions, ensure operational readiness, and represent the SRE perspective in

design reviews

* Mentoring Senior and mid-level SREs through code reviews, design discussions,

and hands-on problem-solving

Do what you love

To be successful in this role you will:

* 8+ years of experience in SRE, infrastructure engineering, or platform

engineering, working with large-scale distributed systems

* Possess a proven track record of defining SLO/SLI frameworks, building

observability platforms, and running incident management processes at scale

* Have extensive Kubernetes and containerization experience at scale, including

autoscaling, resource scheduling, and container orchestration for

compute-intensive workloads

* Have experience building automation and tooling in Python or Go, with

familiarity in CI/CD pipelines, deployment safety, and infrastructure-as-code

* Possess the ability to lead technical initiatives across teams, mentor other

engineers, and drive complex reliability problems to resolution independently

* Have experience with or exposure to AI/ML infrastructure, model serving, or

GPU workloads

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.

[https://www.akamai.com/careers/working-at-akamai? utm_source=akamai&utm_medium=social&utm_campaign=benefits]

FlexBase adapts to your job's needs

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.

Connect with us on social and see what life at Akamai is like!

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[https://app.role-mapper.com/images/instagram.png]https://www.instagram.com/akamaicareers/

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Compensation

Akamai is committed to fair and equitable compensation practices. For US based

candidates only - the base salary for this position ranges from $146,400 -

$263,600/year; a candidate’s salary is determined by various factors including,

but not limited to, relevant work experience, skills, certifications and

location.

Compensation

for candidates outside the US will vary. The compensation

package may also include incentive compensation opportunities in the form of

annual bonus or incentives, equity awards and an Employee Stock Purchase Plan

(ESPP). Akamai provides industry-leading benefits including healthcare, 401K

savings plan, company holidays, vacation (in the form of PTO), sick time, family

friendly benefits including parental leave and an employee assistance program

including a focus on mental and financial wellness; Eligibility requirements

apply.

Which skills does this role require?

Site Reliability EngineeringKubernetesPythonGoObservabilitySLO/SLI FrameworksIncident ManagementCI/CD PipelinesInfrastructure as CodeGPU InfrastructureContainer OrchestrationDistributed SystemsAI/ML InfrastructureModel ServingTelemetryCanary AnalysisSREAI InferenceGPUSLOSLIPost-mortemsCI/CDServerlessContainerizationAutoscalingResource SchedulingProgressive RolloutsCloud TechnologyEdge ComputingMachine Learning

Make your next move

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