Alphasense
Alphasense

Staff Cloud Platform Engineer - Cloud Developer Experience

engineeringfull-timeRemote - United Kingdom
SALARY
Not listed
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
ai
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About the role

About the Team:

The Cloud DX team owns the outer loop of software development at AlphaSense, everything from the moment code is pushed to source control to the moment it reaches production, for ~400 engineers distributed across the globe. We've built a solid delivery foundation and we're now raising the bar toward industry-leading CI/CD. Progressive delivery, canary deployments, automated rollbacks, trunk-based development, GitOps workflows: these aren't aspirations but the direction we're actively building, and we're looking for passionate engineers to help shape what best-in-class looks like.

About the Role:

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.

Who You Are:

  • 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
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