Senior Kubernetes and Reliability Engineer
Verda is a Helsinki-headquartered full-stack AI cloud provider offering on-demand GPU compute, clusters, serverless containers, storage, APIs, and related AI infrastructure.
Funding history
About Verda
Formerly DataCrunch, Verda operates European AI cloud infrastructure for the full AI lifecycle, from prototyping and distributed model training to scalable inference. It manages data-center infrastructure, hardware, cloud-platform services, and an in-house AI Lab.
Skills
About the Role
You will build and operate cloud-native Kubernetes platform capabilities, including cluster lifecycle management, observability, and automated delivery. You will improve incident response, recovery procedures, capacity planning, GitOps workflows, and operational tooling. You will develop production-grade services, define service health indicators and SLOs, and explore AI-assisted diagnostics and automation.
Requirements
- 5+ years of platform engineering, infrastructure engineering, SRE, or related experience, or equivalent expertise
- Deep expertise building, maintaining, and troubleshooting production Kubernetes clusters
- Strong software development skills in Go, Python, or similar languages
- Experience designing APIs, idempotency, retries, error recovery, and testing
- Production operations foundation in Linux, networking, and distributed systems
- Experience with incidents, releases, and capacity
- Observability experience with Prometheus, Grafana, or comparable systems
- Practical GitOps experience with declarative configuration, Git, continuous reconciliation, and configuration drift
- Ability to communicate proposals and risks and make reliability, speed, cost, and complexity trade-offs
Responsibilities
- Build Kubernetes platform capabilities and automate cluster lifecycle management
- Improve incident response, troubleshooting, post-incident reviews, capacity planning, change management, recovery procedures, and runbooks
- Build and improve metrics, logging, tracing, and alerting
- Define health indicators and SLOs for key services
- Manage applications and infrastructure through declarative configuration, version control, and continuous reconciliation
- Improve delivery, configuration drift detection, change review, and recovery from failed changes
- Develop maintainable platform services and operational tools
- Contribute to design reviews, code reviews, and testing
- Explore AI-assisted diagnostics and operational workflows
Benefits
- Equity compensation
- Local benefits