Summary
✨ AI‑Generated
Join a platform engineering team focused on making software development, testing, deployment, and operations faster and easier on Kubernetes. You will study developer workflows, identify friction points, and build reusable tooling and self-service workflows that allow engineering teams to work more independently. The role combines developer empathy, platform engineering, automation, and collaboration with security and infrastructure specialists.
Highlights
Improve the developer experience for teams building and operating software on Kubernetes. The role offers broad platform impact, close collaboration with developers and security specialists, and the opportunity to turn developer pain points into scalable self-service tooling and workflows.
Description
At Verda, we're building a full-stack AI cloud, covering everything from data centers and hardware to our own cloud platform that the world's leading AI teams use to do serious AI work.
We strive to make a positive mark on the world through the infrastructure we build and give leading teams a service they can truly depend on.
Headquartered in Helsinki, we operate globally with offices in London and San Francisco.
Join Verda while it’s still being built - not once it’s finished.
About The Role
We're looking for a Developer Experience Engineer to make it easier and faster for our developers to build, test, deploy, and operate software on Kubernetes.
You'll be part of the Platform Team, working closely with developers, Platform Engineers and Security.
Your work starts with understanding how developers work, where they struggle, and which problems are worth solving.
You'll turn that understanding into tooling and workflows that teams can use independently.
We're building an AI cloud.
The company is growing rapidly.
This is an opportunity to work with and learn from a very senior team and see directly how your efforts impact shipping products.
Your Responsibilities
Treat developers as customers: talk to them, observe their workflows, and use feedback and data to distinguish recurring symptoms from underlying problems.Build a picture of the architecture and how teams depend on each other.
Work through conflicting needs with developers, Platform, and Security to agree which problems to tackle and why.Research and build AI tools and agentic workflows.Improve the software development lifecycle: local development → CI/CD → Kubernetes → production.Contribute to better development journey, including onboarding, environments, access, and common development workflows.Own improvements from discovery and prototyping through rollout, documentation, and ongoing support.
Check whether they help developers and refine them based on feedback.Design and standardize DevOps workflows and delivery patterns that scale across hundreds of developers and services, supporting different teams and workloads.Build and improve CI/CD across GitLab, GitHub, runners, and different application stacks.Build internal tooling, CLIs, APIs, integrations, and platform abstractions.Build reusable golden paths, templates, pipelines, and self-service tooling that address needs shared across teams.
Your key competencies
Experience in Software Engineering, DevOps, Platform Engineering, Developer Experience.Hands-on experience deploying applications on Kubernetes clusters.Strong 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.Clear communication and sound judgment when information is incomplete or teams disagree.
You can connect details across systems, explain trade-offs, and help people reach a decision.Judgment about when to adopt proven tools, extend existing systems, or build something new, taking ongoing maintenance into account.Experience building AI/LLM tools or agentic workflows, including connecting them to tools and APIs and evaluating their reliability.
Prototypes and personal projects count.
Nice to have
Kubernetes Operators / CRDsRancher, Helm, KustomizeDeveloper portals or Internal Developer PlatformsObservability with Prometheus, Grafana, or LokiLLM inference, AI infrastructure, or GPU workloadsExperience designing systems on GCP, AWS, or Azure, or building managed cloud services
What's Next
We're building fast and this role needs the right person behind it.
There's no artificial deadline, but when we find who we're looking for, we move.
If this sounds like your next move, apply now.
Please submit your application through our Careers page.
We don't accept applications sent by email.
Why Verda
Cash and equity compensation along with various fringe benefits (healthcare, lunch, wellbeing, and more).Profitable operations with rapid, sustained growth.40+ nationalities, with 6 different ones on the management team.A real chance to make an impact and work alongside world class engineers, researchers, and partners across the global AI ecosystem.
Practicalities
Work mode: Hybrid, based in HelsinkiLevel: SeniorEmployment type: Full time and permanent
