Would you like to impact the digital experiences of millions of users?
Do you enjoy solving large scale distributed systems problems?
Join our Edge & Application networking Automation team!
Our team builds automation frameworks, efficiency improvement tools and complex automation libraries using Python and AI/LLMs. These support teams working on Akamai Delivery, Web, Origin Services and Edge Computing products. We develop automation infrastructure for product testing and collaborate with Engineering teams. We are knowledgeable about Akamai products and focus on developing automation frameworks that empower the Product development and testing teams.
Partner with the best
You will be tasked with solving critical software automation and verification problems in a distributed systems environment. Working with developers and QA teams you will become an expert in system-wide automation infrastructure. You will ensure the exceptional performance of the products used to deliver the world's largest OTT events.
As a Software Engineer II, you will be responsible for:
- Architecting and implementing next-generation AI-powered automation infrastructures to optimize engineering efficiency and advance comprehensive verification strategies.
- Partnering with Engineering groups to embed AI-driven solutions and LLM-based utilities within current workflows, elevating the productivity and end-to-end developer journey.
- Architecting and maintaining automation infrastructure that leverages machine learning to proactively identify bottlenecks and optimize Akamai's delivery and edge services.
- Evangelizing AI-integrated automation best practices across the organization, mentoring teams on the effective adoption of automation tools.
- Researching and implementing cutting-edge AI technologies to solve complex, large-scale challenges in distributed systems and automation.
Do what you love
To be successful in this role you will:
- Have a Bachelor's degree in Computer Science or equivalent experience; 2-3 years of relevant experience in AI
- Be proficient in Python and experience developing robust automation frameworks, libraries, or developer tools.
- Have experience using Coding agents like Claude code, Github Copilot or similar tools.
- Have experience building AI tools, Eval frameworks and Context/RAG tools using LangChain/Graph, Vector DBs etc.
- Have demonstrated experience leveraging AI/LLMs or machine learning to improve software development lifecycles (SDLC), Developer experience and test automation .
- Possess a solid understanding of distributed systems, containerization (Docker, Kubernetes), and modern CI/CD pipelines.
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.
