Akamai Technologies
Cloud Computing • Cybersecurity • 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.
5001 - 10000 employees
🔒 Cybersecurity
💰 Post-IPO Equity on 2001-07
Principal Software Engineer – Akamai Inference Cloud
November 21
Akamai Technologies
Cloud Computing • Cybersecurity • 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.
5001 - 10000 employees
🔒 Cybersecurity
💰 Post-IPO Equity on 2001-07
📋 Description
• Architecting and designing the core infrastructure of Akamai Inference Cloud, ensuring it is performant, compliant, economical, and explainable. • Providing thought leadership on AI inference optimization, model serving architectures, and establishing technical standards for the platform. • Making critical technical decisions on frameworks, tools, and approaches for AI workload deployment and global traffic orchestration. • Mentoring engineers and collaborating with cross-functional teams to define technical requirements and elevate team capabilities. • Contributing hands-on to critical path development, code reviews, and architectural implementations.
🎯 Requirements
• Have broad software engineering experience with deep expertise in AI inference optimization, model serving, and LLM deployment at scale. • Demonstrate mastery of inference frameworks (TensorRT, vLLM, TorchServe, Triton), containerization strategies, and hardware-specific optimizations for AI workloads. • Show expert-level proficiency with cloud-native technologies, Kubernetes, distributed systems, and architecting services at global scale with strict SLOs. • Possess strong opinions and proven experience building platforms for AI developers (RAG, agents, fine-tuning workflows). • Demonstrate excellent technical leadership with ability to mentor engineers, influence architectural decisions, and communicate effectively across teams. • Have deep knowledge of AI safety, responsible AI practices, and explainability frameworks.
🏖️ Benefits
• Your health • Your finances • Your family • Your time at work • Your time pursuing other endeavours
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