Senior II Software Engineer Lead – Akamai Inference Cloud

November 21

Apply Now

Receive Emails with Similar Jobs

Akamai Technologies

WebsiteLinkedInAll Job Openings

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

• Leading the design and implementation of critical platform components for Akamai Inference Cloud, ensuring performance, scalability, and reliability. • Driving technical decisions for your domain, selecting appropriate tools, frameworks, and approaches for AI inference workloads. • Mentoring and guiding engineers on the team through code reviews, design discussions, and technical problem-solving. • Implementing and optimizing containerized AI workloads with hardware-specific optimizations and integrating inference frameworks at scale. • Collaborating across teams to define technical requirements, contribute to platform standards, and ensure operational excellence.

🎯 Requirements

• Have broad software engineering experience with relevant proficiency in distributed systems, cloud services, and platform engineering. • Demonstrate hands-on experience with AI inference, model serving, or LLM deployment with working knowledge of inference frameworks (TensorRT, vLLM, TorchServe, Triton). • Show expertise in cloud-native architectures including containerization and orchestration technologies like Kubernetes and Docker. • Have proven experience building scalable, high-performance systems with modern DevOps practices, CI/CD pipelines, and infrastructure-as-code. • Demonstrate broad technical leadership through mentoring, code quality advocacy, and ability to drive technical solutions for complex problems. • Have knowledge of observability, monitoring, and debugging distributed systems. • Show familiarity with GPU infrastructure and hardware acceleration.

🏖️ Benefits

• Your health • Your finances • Your family • Your time at work • Your time pursuing other endeavors