About The Position
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. 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.
Requirements
- 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
Responsibilities
- 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
Benefits
- opportunities to grow, flourish, and achieve great things
- benefit options are designed to meet your individual needs for today and in the future
- benefits surrounding all aspects of your life: Your health Your finances Your family Your time at work Your time pursuing other endeavors
- benefit plan options are designed to meet your individual needs and budget, both today and in the future
- healthcare
- 401K savings plan
- company holidays
- vacation (in the form of PTO)
- sick time
- family friendly benefits including parental leave
- employee assistance program including a focus on mental and financial wellness
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
