
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 September 1
đ Massachusetts â Remote
đ” $139.3k - $250.7k / year
â° Full Time
đ Senior
đ·đ»ââïž Engineer
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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 Conduct technical evaluations of cloud and AI platforms âą Provision infrastructure, deploy workloads, measure performance, and document reproducible results âą Develop and manage a benchmarking framework for AI inference workloads using standardized tests, models, and KPIs âą Assess competitor architectures, APIs, networking, storage, GPU availability, orchestration tools, and developer experience âą Document actual product performance during deployment âą Produce battle cards, technical comparison guides, and Sales and Presales content grounded in verified data âą Collaborate with Product Management to analyze cloud products and recommend roadmap items âą Review and fact-check differentiation claims in marketing materials, sales decks, and analyst briefings âą Collaborate with architects, product managers, engineers, and solution engineers to influence architecture and go-to-market strategies
âą 12 years of technical experience in cloud engineering, solutions architecture, DevOps, technical marketing, or presales within enterprise technology âą Bachelor's degree or its equivalent âą Expertise in cloud infrastructure, including provisioning instances, configuring networking, deploying containers, and troubleshooting performance issues independently âą Experience operating AI/ML inference workflows and deploying model endpoints âą Ability to measure performance metrics and understand cost models âą Ability to design reproducible tests, control variables, and apply benchmarking methodology âą Ability to produce technical content understandable to engineers and actionable for stakeholders âą Ability to present findings to diverse professional audiences âą Demonstrated honesty and transparency in presenting findings
âą Annual bonus or incentives âą Equity awards âą Employee Stock Purchase Plan (ESPP) âą Healthcare âą 401K savings plan âą Company holidays âą Vacation in the form of PTO âą Sick time âą Parental leave âą Employee assistance program âą Mental wellness support âą Financial wellness support âą GROW development programs âą Mentoring âą APEX Expo internal events âą LinkedIn Learning
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