
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 August 5
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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 Design, build, and maintain scalable data pipelines using modern cloud-native tooling âą Contribute to modernization of Akamai's data stack by migrating legacy systems, improving reliability, and establishing engineering best practices âą Design and deploy AI/ML solutions to automate and optimize core business workflows âą Partner with BI and analytics teams to ensure data models are well-designed, documented, and trusted âą Drive adoption of analytics engineering best practices across the organization âą Prototype, build, and productionize GenAI and ML-powered workflows and internal tools âą Work cross-functionally with product and platform teams to identify and deliver high-value AI use cases âą Help define engineering standards for responsible, observable, and scalable AI in production
âą Intellectual curiosity and a proactive bias for action âą Track record of solving complex problems in ambiguous environments âą Deep understanding of business processes and data lifecycles âą Strong foundation in data architecture and pipeline design âą Hands-on experience with relational databases such as Oracle or PostgreSQL âą Experience with enterprise reporting tools such as Tableau or Power BI âą Demonstrated experience applying GenAI and AI/ML to improve business processes âą Strong communication skills and ability to translate complex technical roadmaps for business stakeholders
âą Flexible working options âą Benefit plan options designed to meet individual needs and budget âą Health-related benefits âą Financial benefits âą Family benefits âą Time-off benefits âą Support for pursuing other endeavors
Apply Nowđ August 5
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đ° Private Equity Round on 2023-01
â° Full Time
đ Senior
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