Akamai Technologies
5001 - 10000 employees
🔒 Cybersecurity
🏢 Enterprise
📱 Media
Cybersecurity • Enterprise • Media
Akamai Technologies is a global edge platform and cloud services company that delivers content delivery, edge computing, and security solutions. The company operates one of the world’s largest distributed networks to accelerate and protect web, media, and application traffic, offering products for content delivery, DDoS protection, API and app security, bot management, edge compute (serverless/edge functions), and AI inference at the edge. Akamai also provides enterprise-focused security services (zero trust, identity and access management, secure internet access) and cloud/AI infrastructure tools, and has recently expanded capabilities through acquisitions (for example LayerX) to add browser-based AI usage control.
Principal Software Engineer – Akamai Inference Cloud
🕒 November 21, 2025
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Akamai Technologies
5001 - 10000 employees
🔒 Cybersecurity
🏢 Enterprise
📱 Media
Cybersecurity • Enterprise • Media
Akamai Technologies is a global edge platform and cloud services company that delivers content delivery, edge computing, and security solutions. The company operates one of the world’s largest distributed networks to accelerate and protect web, media, and application traffic, offering products for content delivery, DDoS protection, API and app security, bot management, edge compute (serverless/edge functions), and AI inference at the edge. Akamai also provides enterprise-focused security services (zero trust, identity and access management, secure internet access) and cloud/AI infrastructure tools, and has recently expanded capabilities through acquisitions (for example LayerX) to add browser-based AI usage control.
📋 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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