Role overview

Platform Engineer (DevEx)

Requirements and responsibilities

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Key Responsibilities

  • Help design and build internal AI-assisted developer tooling and engineering workflows.
  • Contribute to AI development harnesses, orchestration tooling, MCP integrations, prompt/tooling standards, and agentic development workflows.
  • Support rollout and adoption of AI engineering and related ecosystem tooling.
  • Help measure and improve developer productivity and experience using engineering metrics, developer sentiment, and workflow analysis.
  • Interpret data for various sources to help teams understand engineering friction and impact, building and executing strategies to improve across the SDLC
  • Partner with engineers across the business to understand pain points and identify opportunities for automation and simplification.
  • Contribute to internal developer portals, self-service tooling, onboarding experiences, and golden path workflows.
  • Help run and grow engineering communities, knowledge sharing, internal demos, workshops, and AI adoption initiatives.
  • Act as an enthusiastic advocate for modern engineering practices and AI-enabled software delivery.
  • Work closely with our AI development community, Platform Engineering and SRE teams to improve tooling usability and adoption.
  • Support experimentation and rapid prototyping of new developer productivity concepts.

Skills & Experience

  • Has some hands-on software engineering experience in at least one modern programming language
  • Is excited by the AI-for-software-development movement and actively experiments deeply with modern AI coding tools.
  • Enjoys helping other engineers succeed and improving the day-to-day developer experience.
  • Has a strong curiosity around developer workflows, productivity, and engineering systems, with experience in enterprise contexts
  • Communicates clearly and enjoys collaborating across teams and disciplines.
  • Cannot accept messy/friction-heavy processes and is driven by the need to turn them into streamlined experiences.
  • Is comfortable learning new tools quickly and working across different areas of engineering.
  • Has decent experience with automation, APIs, scripting, CI/CD, developer tooling, or cloud platforms.
  • Familiarity with prompt engineering, AI orchestration frameworks, MCP servers, or agentic workflows.

Nice to haves

  • Experience with developer productivity or DX metrics platforms.
  • Exposure to platform engineering, internal developer platforms, Backstage, or self-service tooling.
  • Experience running engineering communities, demos, workshops, or internal enablement initiatives.
  • Experience with observability or engineering analytics tooling.
  • Knowledge of GitHub Actions, Terraform, Kubernetes, or cloud-native workflows.
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Browse stack
FocusPlatform EngineeringRole area
Seniority signalMiddleCandidate level
StackCI/CD, KubernetesPrimary skills
Location1 accepted countryEligibility

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