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# Staff Cloud Platform Engineer - Cloud Developer

- **Company:** Alphasense
- **Location:** UK (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Engineering, Continuous Integration, OAuth, Role-Based Access Control, Cloud Platform System, Kubernetes
- **Published:** September 5, 2026
- **Apply:** https://startup.jobs/staff-cloud-platform-engineer-cloud-developer-experience-alphasense-8730046

## About the Role

* Strong experience in Platform Engineering or Developer Experience roles focused on CI/CD and delivery, ideally at companies with 200+ engineers
 * Experience owning and operating a CI/CD platform at admin and architecture level, including security, configuration, and enablement
 * Proven ability to design and operate delivery systems at scale
 * Hands-on software development experience including production-quality Go
 * Passion for progressive delivery practices: canary deployments & automated rollbacks
 * Familiarity with cloud-native architectures and Kubernetes-based platforms
 * Passion for using AI to improve engineering velocity, quality, and developer experience
 * Strong collaboration skills and ability to influence across teams
 * [Nice to Have] Built and/or maintained an IDP in production
 * [Nice to Have] Previous experience working in both Software and Platform Engineering teams
 * [Nice to Have] Interest in Security and an understanding of RBAC and OAuth

## Description

This is a Staff Engineer role with real breadth. It requires both operational and software development skills, the ability to lead projects and collaborate across timezones with Engineering leaders and very senior Engineers across dozens of teams. You'll design and operate production-grade delivery infrastructure, contribute hands-on in Go and Python, and help shape the engineering practices a global organisation depends on.
We're looking for someone who genuinely embraces AI tooling in their day-to-day work, appreciates the productivity value it brings, and is motivated to push that further, both in their own practice and by helping embed AI-assisted workflows into the SDLC for the wider engineering organization., * Own and evolve our CI/CD architecture and the developer-facing experience

 * Drive continuous improvements to pipeline reliability, speed, and predictability
 * Define paved paths that let product teams ship fast and safely without deep platform knowledge
 * Own the delivery process end-to-end, from code merge to production
 * Champion progressive delivery practices: canary deployments & automated rollbacks
 * Build tooling that makes deployments observable, repeatable, and self-service
 * Own and evolve our Internal Developer Portal and the self-service experience around it
 * Partner with Cloud Platform teams on infrastructure while owning the developer-facing delivery
 * Embed AI tooling into delivery workflows in ways that create lasting productivity gains.


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