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Staff Software Engineer – Core Developer Experience (DevEx)

1 hour, 31 minutes ago
United Kingdom
Full-time
Lead
AI Engineer
DevOps and Infrastructure
CI/CD Kubernetes
Apply Now
Alphasense

Alphasense

Alphasense is a global leader in providing high-quality gas sensors and air quality monitors to industrial OEMs. With over 25 years of experience, the company offers a wide range of innovative gas sensor technologies for various applications, including...

Industrial Conglomerates
51-250
Founded 1996
View All Jobs 14

Description

  • Improve the inner development loop for local development, builds, and tests to deliver fast and reliable feedback.
  • Design and evolve the tools, environments, and workflows that support efficient engineering iteration.
  • Integrate AI across the software development lifecycle, including coding, testing, documentation, and debugging workflows.
  • Improve collaboration between Core DX and Cloud DX to create a seamless development-to-production experience.
  • Identify and eliminate friction across the developer journey.
  • Build and evolve self-service tooling and the internal developer platform.
  • Establish and improve developer productivity metrics and engineering insights such as DORA and DX metrics.
  • Enable engineering scalability through shared libraries, standards, automation, and better tooling.
  • Partner across teams to improve developer experience without reducing engineering autonomy.

Requirements

  • Strong experience in Developer Experience, Platform Engineering, or Internal Tooling.
  • Proven experience building, rolling out, and operating internal developer platforms (IDP).
  • Track record of improving developer workflows and productivity at scale.
  • Hands-on experience with CI/CD, with a focus on improving reliability, speed, and predictability.
  • Experience defining and using developer productivity metrics such as DORA and DX insights.
  • Ability to identify systemic friction and solve it with pragmatic, scalable solutions.
  • Experience building self-service platforms, tooling, and paved paths.
  • Hands-on experience with, or strong drive to adopt, AI-enabled workflows across the SDLC.
  • Passion for using AI to improve engineering velocity, quality, and developer experience.
  • Strong collaboration skills and ability to influence across teams.
  • Experience with progressive delivery, preferred.
  • Familiarity with cloud-native architectures and Kubernetes-based platforms, preferred.
  • Experience with test platforms or QA automation and improving feedback loops, preferred.
  • Familiarity with modern frontend architectures and microfrontend delivery models, preferred.
  • Ability to work in EST or UK timezone for closer overlap with direct team members, preferred.

Interested in this position?

Apply directly on the company website

Apply Now

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