Software Engineer Intern, Observability

Roku
Cambridge, United KingdomPosted 27 February 2026

Job Description

<div class="content-intro"><h2 style="font-family: GothamBold,Helvetica,Arial,sans-serif; color: #662d91;">Teamwork makes the stream work.</h2> <p> </p> <h3 style="font-family: GothamBold,Helvetica,Arial,sans-serif;"><strong>Roku is changing how the world watches TV</strong></h3> <p>Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.</p> <p>From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.</p> <p> </p></div><h3><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">About</span><span data-ccp-parastyle="heading 2"> </span><span data-ccp-parastyle="heading 2">the</span><span data-ccp-parastyle="heading 2"> </span><span data-ccp-parastyle="heading 2">role</span></span></strong><span data-ccp-props="{"134233117":false,"134233118":false,"134245418":true,"134245529":true,"335559738":299,"335559739":299}"> </span></h3> <p><span data-contrast="auto">Are you eager to dive into the world of observability and contribute to building the next generation of Roku's AI-enhanced observability platform? Are you excited to learn about or expand your knowledge of the CNCF open-source ecosystem, including tools for metrics, logs, and tracing, while exploring how AI and Large Language Models can revolutionize observability workflows? Do you enjoy problem-solving, working collaboratively with other teams, and exploring innovative ways to improve their observability experience through intelligent automation? In this role, you'll have the opportunity to grow your skills while helping manage large-scale operations involving high-volume data and requests across multiple regions and clusters, all while pioneering AI driven observability solutions. If you're enthusiastic about learning at the intersection of observability and AI, and ready to make an impact, we'd love to hear from you!</span></p> <p><span data-contrast="none">We offer a paid 12-week internship, starting in Summer 2026.</span><span data-ccp-props="{"134233117":false,"134233118":false,"201341983":0,"335551550":0,"335551620":0,"335557856":16777215,"335559738":0,"335559739":168,"335559740":360}"> </span></p> <p><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <h3><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">About</span><span data-ccp-parastyle="heading 2"> </span><span data-ccp-parastyle="heading 2">the</span><span data-ccp-parastyle="heading 2"> team</span></span></strong><span data-ccp-props="{"134233117":false,"134233118":false,"134245418":true,"134245529":true,"335559738":299,"335559739":299}"> </span></h3> <p><span data-contrast="auto">The observability team is an integral part of Roku's central Infrastructure Engineering team, which oversees the service mesh hosting architecture and observability platform that lives on that platform. Together, we are tasked with developing and scaling both the Platform (Kubernetes, Istio, Envoy, operators, etc.) and the Observability stack (OSS/CNCF-supported observability projects). Our goal is to facilitate Roku's shift towards a unified, cloud-agnostic infrastructure where all teams benefit from a common framework with out of the box features.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="auto">Within the observability team, we are dedicated t ... (truncated, view full listing at source)
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