Developer Experience Engineer
Verda (formerly DataCrunch) is a Helsinki-headquartered full-stack AI cloud provider offering on-demand GPU compute, self-service clusters, serverless containers, storage, and inference infrastructure.
Funding history
About Verda
Founded in Helsinki in 2020, Verda operates European AI cloud infrastructure across physical data centers, hardware, a cloud platform, and AI research. DataCrunch renamed to Verda in November 2025 without changing its service offering.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will research developer needs and turn them into scalable tooling and workflows. You will improve local development, CI/CD, Kubernetes delivery, onboarding, access, and self-service capabilities. You will build internal tools, APIs, integrations, templates, and AI-enabled workflows, then document, roll out, and refine them using feedback.
Requirements
- Experience in software engineering, DevOps, platform engineering, or developer experience
- Experience deploying applications on Kubernetes clusters
- Understanding of DevOps practices, CI/CD, Git, containers, and Linux
- Experience designing reusable CI/CD pipelines and engineering workflows with GitLab CI/CD, GitHub Actions, ArgoCD, or similar tooling
- Ability to build and maintain software in Go, TypeScript, or Python
- Experience building AI or LLM tools or agentic workflows connected to tools and APIs
- Ability to evaluate AI workflow reliability
Responsibilities
- Research developer workflows and identify underlying problems
- Build AI tools and agentic workflows
- Improve the software development lifecycle from local development through production
- Improve onboarding, environments, access, and common development workflows
- Own improvements from discovery and prototyping through rollout, documentation, and support
- Design and standardize scalable DevOps workflows and delivery patterns
- Build and improve CI/CD across GitLab, GitHub, runners, and application stacks
- Build internal tooling, CLIs, APIs, integrations, and platform abstractions
- Build reusable golden paths, templates, pipelines, and self-service tooling