The Role Leads design and implementation of globally distributed AI inference platform components. Builds and optimizes containerized AI workloads, integrates inference frameworks, improves scalability and reliability, and supports GPU-accelerated model serving. Provides technical leadership through mentoring, code reviews, design discussions, and technical decision-making. Collaborates across teams on platform standards, operational excellence, observability, and high-performance cloud-native systems. Summary Generated by Built In Do you thrive on technical leadership and building cutting-edge AI systems? Are you ready to drive innovation at the intersection of AI and edge computing? Join the Akamai Inference Cloud Team! The Akamai Inference Cloud team is part of Akamai's Cloud Technology Group. We design, implement, deploy and operate AI platforms that enable customers to run inference models and developers to create AI applications with unmatched performance, compliance, and economics. Partner with the best As a Senior II Software Engineer Lead, you will be responsible for driving the design and implementation of critical components of our globally distributed AI inference platform. You'll work hands-on to build and optimize systems that deliver OpenAI-compatible endpoints while orchestrating inference workloads across regions. You will guide other engineers, influence technical direction, and ensure delivery of high-quality, scalable solutions. As a Senior II Software Engineer Lead, you will be responsible for: 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 Do what you love To be successful in this role you will: 8 years of relevant experience and a Bachelor's degree or its equivalent Have solid 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 containerization and orchestration technologies including Kubernetes, Docker, and cloud-native architectures Have proven experience building scalable, high-performance systems with modern DevOps practices, CI/CD pipelines, and infrastructure-as-code Demonstrate solid technical leadership through mentoring, code quality advocacy, and ability to drive technical solutions for complex problems Show familiarity with API design and development(REST/gRPC patterns), GPU infrastructure and hardware acceleration Have knowledge of observability, monitoring, and debugging distributed systems #AIC About us At Akamai, we make life better for billions of people, trillions of times a day. Whether you're streaming live events, scrolling social media, watching your favorite series, or managing your savings, we're the engine behind the scenes. We provide the world's most distributed platform from Cloud to Edge to help the giants of the digital world work faster and stay more secure, making the internet a better experience for everyone.

Our focus is simple:

Cloud and Edge:

Running apps closer to users for instant performance.

Security :

Neutralizing threats before they ever reach your data.

Content Delivery :

Scaling the world's biggest moments without a glitch.

AI :

Enabling our customers to build, secure, and scale AI apps on the world's most distributed cloud platform. At Akamai, we don't just support the internet; we power and protect it, because behind every great digital experience is a massive hidden challenge. And we're the ones who solve it. When millions of people hit play or pay, Akamai ensures it just works. Benefits at

Akamai:

We support your health, well-being, finances, and life beyond work. See our benefits. FlexBase adapts to your job's needs Akamai's FlexBase program is yet another way we show our commitment to providing employees with an exceptional workplace experience. It's not about telling employees where to work; it's about supporting employees to do their best work. We trust our incredible employees to work in ways that suit them best: at home, in an office, or a combination of both. Connect with us on social and see what life at Akamai is like! Compensation Akamai is committed to fair and equitable compensation practices. For US based candidates only - the base salary for this position ranges from $146,400 - $263,600/year; a candidate's salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location. Compensation for candidates outside the US will vary. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards and an Employee Stock Purchase Plan (ESPP). Akamai provides industry-leading benefits including healthcare, 401K savings plan, company holidays, vacation (in the form of PTO), sick time, family friendly benefits including parental leave and an employee assistance program including a focus on mental and financial wellness; Eligibility requirements apply. Read Full Description Skills Required 8 years of relevant experience Bachelor's degree or equivalent Proficiency in distributed systems, cloud services, and platform engineering Hands-on experience with AI inference, model serving, or LLM deployment Working knowledge of inference frameworks such as TensorRT, vLLM, TorchServe, or Triton Experience with Kubernetes, Docker, and cloud-native architectures Experience building scalable, high-performance systems Experience with modern DevOps practices, CI/CD pipelines, and infrastructure as code Technical leadership experience, including mentoring and code quality advocacy Ability to drive technical solutions for complex problems Familiarity with REST and gRPC API design and development Knowledge of GPU infrastructure and hardware acceleration Knowledge of observability, monitoring, and debugging distributed systems Akamai Technologies Compensation & Benefits Highlights The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Akamai Technologies and has not been reviewed or approved by Akamai Technologies. About This Summary Leave & Time Off Breadth — Unlimited PTO in the U.S., wellness days, paid volunteering time, and the FlexBase model contribute to broad time‑off flexibility. These practices are described as supporting strong work‑life balance. Parental & Family Support — Generous paid parental leaves, paid family care leave, subsidized backup childcare, and inclusive family‑building benefits via Carrot form a comprehensive family support suite. Coverage spans fertility support through caregiving resources. Retirement Support — A 401(k) with a substantial company match and immediate vesting, plus Roth and Mega Backdoor Roth options, underpin long‑term savings. These features provide reliable long‑term savings opportunities. Learn more about Akamai Technologies's Compensation & Benefits → Akamai Technologies Insights What's It Like to Work at Akamai Technologies? Akamai Technologies Culture & Values Akamai Technologies Career Growth & Development What's the Work-Life Balance Like at Akamai Technologies? Akamai Technologies Leadership & Management Akamai Technologies Company Growth, Stability & Outlook View all jobs at Akamai Technologies View Akamai Technologies Profile Report Job