Akamai Technologies Logo

Akamai Technologies

Senior II Site Reliability Engineer

Posted Yesterday
Be an Early Applicant
In-Office or Remote
Hiring Remotely in United States
146K-264K Annually
Senior level
In-Office or Remote
Hiring Remotely in United States
146K-264K Annually
Senior level
Analyzes large-scale telemetry and datasets to identify content delivery performance and reliability issues. Builds software tools to automate analytical workflows and enable autonomous diagnosis. Applies statistical analysis, machine learning, networking, and distributed-systems expertise to develop targeted platform improvements. Defines and mines internal data feeds, establishes performance indicators, and partners with Engineering, Operations, and Product teams to guide feature and process adoption.
The summary above was generated by AI

Are you passionate about cutting edge technology?

Do solving some of the Internet's most difficult content delivery challenges interest you?

Join our SRE team!

Our team uses large datasets to analyze and measure the performance and reliability of our platform. We are networking data scientists: we combine our knowledge of data analysis, networking, and distributed systems. We define key performance indicators, isolate the factors that impact them, and engineer targeted solutions for improvement.

Partner with the best

In this role, you will apply statistical data analysis, machine learning, and network protocol knowledge to diagnose and solve complex content delivery challenges, partnering with cross-functional teams to turn telemetry into platform improvements.

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

  • Applying analytical skills and statistical insights to identify performance bottlenecks and reliability challenges and propose solutions
  • Designing and building software tools and systems to automate analytical workflows, increase operational efficiency, and accelerate autonomous problem diagnosis
  • Defining, implementing, and mining data feeds drawn from Akamai internal sources in order to produce insights and influence company decision-making
  • Partnering with Engineering, Operations, and Product teams to help guide the adoption of new features and processes

Do what you love

To be successful in this role you will:

  • Have 8 years academic or industrial experience and a PhD or master's degree in computer science or another quantitative field
  • Have an analytical background, experience in statistical data analysis, and an in-depth understanding of Machine Learning algorithms
  • Demonstrate experience with coding in one or more of the following languages: Python, C, or C++
  • Possess experience with Internet protocols (DNS/HTTP/TLS/TCP)
  • Have excellent communication and organizational skills and be able to articulate technical information in an easy-to-understand manner

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.

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!

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.

Similar Jobs

9 Days Ago
In-Office or Remote
United States
146K-264K Annually
Senior level
146K-264K Annually
Senior level
Cloud • Security • Software • Cybersecurity
Develop and operate Akamai’s cloud platform infrastructure, automation, observability tooling, and distributed systems. Investigate performance bottlenecks across physical, virtualized, and containerized Linux environments; improve kernel and hardware compatibility; automate infrastructure with configuration-management tools; and troubleshoot complex issues with support, operations, and engineering teams.
Top Skills: AnsibleChefKubernetesKvm/QemuLinuxLinux KernelPuppetSaltstack
9 Days Ago
In-Office or Remote
United States
146K-264K Annually
Senior level
146K-264K Annually
Senior level
Cloud • Security • Software • Cybersecurity
Architect, develop, test, and distribute software, services, and infrastructure supporting Akamai’s cloud hypervisor platforms. Enhance observability, automate operational processes, troubleshoot complex distributed-system issues, mentor engineers, and participate in on-call service restoration. The role focuses on Linux internals, hardware enablement, KVM/QEMU virtualization, operating systems, nested virtualization, and large-scale infrastructure deployment.
Top Skills: AnsibleArm ArchitecturesChefKubernetesKvmLinuxLinux KernelNested VirtualizationNvidia GracePuppetQemuSaltstack
22 Days Ago
Remote
United States
170K-230K Annually
Senior level
170K-230K Annually
Senior level
Cloud • Fintech
Build and operate reliable, scalable cloud applications through automation, infrastructure as code, CI/CD, monitoring, incident response, capacity planning, and SLO management. Collaborate with software engineers on resilient system design, support development environments, improve operational processes, and participate in 24x7 on-call rotation. The role requires expertise with AWS, Kubernetes, Terraform, Docker, networking, and observability, along with mentoring and leadership in SRE practices.
Top Skills: Amazon CloudwatchAmazon EksAmazon RdsAWSAzureCi/CdDnsDockerDocker DesktopGoGCPHTTPKubernetesmacOSTcp/IpTerraformTypescriptWindows

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account