Senior Backend Engineer Cloud
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
About the Role
You will design, build, and evolve backend services for resource provisioning, authentication, billing, analytics, and platform APIs. You will improve architecture, reliability, security, deployment workflows, and CI/CD practices while mentoring engineers through reviews, discussions, and knowledge sharing.
Requirements
- 5+ years of experience building production backend systems
- Proficiency with TypeScript and the Node.js ecosystem, including NestJS, Express, or similar
- Experience designing scalable backend architectures, microservices, and distributed systems
- Knowledge of REST APIs, SQL databases, and scalable data modeling
- Experience building secure production-grade services with comprehensive testing strategies
- Experience making architectural decisions and balancing scalability, performance, and maintainability
- Software engineering fundamentals and ability to independently own complex technical problems
- Experience with Kubernetes and cloud-native technologies
- Experience with CI/CD pipelines and infrastructure automation
- Experience with Python or Go
- Experience building platform, infrastructure, or developer-facing products
- Familiarity with authentication, IAM, or cloud provisioning systems
Responsibilities
- Design, build, and evolve backend services for resource provisioning, authentication, billing, analytics, and platform APIs
- Collaborate with Platform Engineering, SRE, and Infrastructure teams to design scalable services and APIs
- Contribute to system architecture, technical design, and engineering best practices
- Improve deployment workflows, CI/CD pipelines, and development practices
- Mentor engineers through code reviews, technical discussions, and knowledge sharing
