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Evi Technologies Limited is seeking a Software Development Manager for the Ring Video Platform to lead a video streaming team in the Cambridge/London area. You will stay close to architecture, drive performance and reliability decisions, and guide teams through AI-enhanced development practices.
The role emphasizes hands-on leadership, with responsibilities spanning roadmap ownership, architecture reviews, and cross-functional collaboration with device, cloud, and mobile teams.
Job ID: 10591690 | Evi Technologies Limited
The Ring Video Platform Team innovates in the video streaming space for Ring cameras. We are passionate about helping customers see what matters at home, whenever they need to. Every day, millions of Ring devices stream, record and process video through services we build and operate. At that scale we hold ourselves to a high bar for reliability, latency, video quality and privacy.
We're looking for a technically deep Software Development Manager to lead one of our video platform teams. This role suits someone who enjoys the engineering as much as the people side. You'll stay close to the architecture, be comfortable reasoning about protocols, performance and failure modes, and be someone your engineers trust as a technical voice in the room. There's real room to innovate: real-time video at this scale raises hard problems, and many of them have no off-the-shelf answer.
We're also changing how we build software. AI is becoming part of every stage of our development lifecycle, from design and coding through review, testing and operations. You'll help shape what that looks like in practice. That means working out where AI genuinely makes engineers more effective, building it into the team's daily workflow, and using it to raise the quality bar as well as the pace.
The Ring Video Platform organization, based in Cambridge/London, builds and operates the cloud services that power Ring video, from the moment a camera starts streaming to when a customer watches it on their phone. We're a collaborative group of teams with deep expertise in video streaming and distributed systems. We invest heavily in how we build, including how we use AI to do it, and we care about spreading that expertise across the organization.
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