
5001 - 10000 employees
đ Cybersecurity
đ° Post-IPO Equity on 2001-07
Cloud Computing âą Cybersecurity âą Content Delivery
Akamai Technologies is a leading cloud services provider that specializes in delivering security, cloud computing, and content delivery solutions. It offers a range of services such as API security, DDoS protection, and performance optimization for web applications, ensuring secure and reliable user experiences. With a robust global infrastructure, Akamai empowers businesses to streamline their digital presence while safeguarding against various cyber threats and enhancing application performance.
đ„ 6 hours ago
đ”đ± Poland â Remote
â° Full Time
đ Senior
â DevOps & Site Reliability Engineer (SRE)
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5001 - 10000 employees
đ Cybersecurity
đ° Post-IPO Equity on 2001-07
Cloud Computing âą Cybersecurity âą Content Delivery
Akamai Technologies is a leading cloud services provider that specializes in delivering security, cloud computing, and content delivery solutions. It offers a range of services such as API security, DDoS protection, and performance optimization for web applications, ensuring secure and reliable user experiences. With a robust global infrastructure, Akamai empowers businesses to streamline their digital presence while safeguarding against various cyber threats and enhancing application performance.
âą Apply analytical skills and statistical insights to identify performance bottlenecks and reliability challenges and propose solutions âą Develop tools to diagnose problems faster and more independently âą Define, implement, and mine data feeds from Akamai internal sources to produce insights âą Influence company decision-making and identify areas for new technology investments âą Partner with Engineering, Operations, and Product teams to guide adoption of new features and processes âą Build software tools and systems to automate analytical tasks and workflows, increasing efficiency and reliability âą Analyze and measure platform performance and reliability using large datasets âą Develop forecast and early warning systems for content delivery challenges
âą Academic or industrial experience âą PhD or master's degree in computer science or another quantitative field âą Analytical background with experience in statistical data analysis âą Experience coding in one or more of Python, C, or C++ âą Experience with Internet protocols: DNS, HTTP, TLS, and TCP âą Understanding of machine learning algorithms âą Excellent communication and organizational skills âą Ability to articulate technical information in an easy-to-understand manner
âą Health, well-being, and financial benefits âą FlexBase program supporting work at home, in an office, or a combination of both âą Flexible workplace experience tailored to employees' needs
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