Senior II SRE: Data-Driven Cloud-Edge Reliability Remote

Akamai Technologies

Cambridge (MA)

In loco

USD 146.000 - 264.000

Tempo pieno

2 giorni fa
Candidati tra i primi

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Descrizione del lavoro

Akamai is seeking a Senior II Site Reliability Engineer to join our SRE team in the United States. You will analyze large datasets to measure the performance and reliability of our platform, apply statistical data analysis, and leverage machine learning to diagnose complex delivery challenges.

Responsibilities include building tools to automate analytical workflows, mining internal data feeds for insights, and partnering with Engineering, Operations, and Product teams to adopt new features and

Competenze

  • 8 years academic or industrial experience with a Master’s or PhD in a quantitative field
  • Strong foundation in statistical data analysis and machine learning
  • Proficiency in Python, C, or C++ and understanding of internet protocols (DNS/HTTP/TLS/TCP)

Mansioni

  • Apply analytical skills and statistical insights to identify performance bottlenecks and reliability challenges and propose solutions
  • Design and build software tools to automate analytical workflows and accelerate autonomous diagnosis
  • Define and mine data feeds from internal sources to generate insights for decision-making
  • Collaborate with Engineering, Operations, and Product teams to guide adoption of new features and processes

Conoscenze

Python
C++
C
Machine Learning
Statistics
Data analysis

Formazione

PhD or Master's in Computer Science or quantitative field

Descrizione del lavoro

Akamai is seeking a Senior II Site Reliability Engineer to join our SRE team in the United States. You will analyze large datasets to measure the performance and reliability of our platform, apply statistical data analysis, and leverage machine learning to diagnose complex delivery challenges.

Responsibilities include building tools to automate analytical workflows, mining internal data feeds for insights, and partnering with Engineering, Operations, and Product teams to adopt new features and

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