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Senior Site Reliability Engineer
Akamai Technologies. Apply analytical skills and statistical insights to identify performance bottlenecks and reliability challenges and propose solutions .
Posted 11/10/2026full-timeRemote • Massachusetts • United StatesSenior💰 $146,400 - $263,600 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in statistical data analysis and machine learning to enhance operational efficiency and solve complex content delivery challenges. Proficient in coding with Python, C, or C++ and knowledgeable in Internet protocols to drive data-driven decision-making.
Highest-signal resume keywords
Statistical Data AnalysisMachine Learning AlgorithmsPython ProgrammingInternet ProtocolsAnalytical Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical Data AnalysisMachine LearningPython ProgrammingC ProgrammingC++ Programming
Soft Skills
Excellent Communication SkillsOrganizational Skills
Tools & Technologies
Akamai Internal SourcesTelemetry Tools
Certifications & Qualifications
PhD in Computer ScienceMaster's Degree in Quantitative Field
Industry Keywords
Content DeliveryOperational EfficiencyPerformance BottlenecksNetwork ProtocolsCross-Functional Collaboration
Tech Stack
Tools & technologiesDNSPythonC++
About the role
Key responsibilities & impact- Apply analytical skills and statistical insights to identify performance bottlenecks and reliability challenges and propose solutions
- Design and build software tools and systems to automate analytical workflows, increase operational efficiency, and accelerate autonomous problem diagnosis
- Define, implement, and mine data feeds from Akamai internal sources to produce insights and influence company decision-making
- Partner with Engineering, Operations, and Product teams to guide adoption of new features and processes
- Apply statistical data analysis, machine learning, and network protocol knowledge to diagnose and solve complex content delivery challenges
- Turn telemetry into platform improvements through cross-functional collaboration
Requirements
What you’ll need- 8 years academic or industrial experience
- PhD or master's degree in computer science or another quantitative field
- Analytical background
- Experience in statistical data analysis
- In-depth understanding of Machine Learning algorithms
- Experience coding in Python, C, or C++
- Experience with Internet protocols: DNS, HTTP, TLS, and TCP
- Excellent communication and organizational skills
- Ability to articulate technical information in an easy-to-understand manner
Benefits
Comp & perks- Incentive compensation opportunities in the form of annual bonus or incentives
- Equity awards
- Employee Stock Purchase Plan (ESPP)
- Healthcare
- 401K savings plan
- Company holidays
- Vacation in the form of PTO
- Sick time
- Parental leave
- Employee assistance program
- Mental wellness support
- Financial wellness support
- FlexBase work options: at home, in an office, or a combination of both