Site 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
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will operate and improve the systems that keep data centres serving customers. You will work across deployments, Kubernetes, secrets, observability, and bare-metal GPU infrastructure. You will diagnose incidents, build automation, make releases safer, extend monitoring, contribute to capacity and redundancy planning, and document operational procedures.
Requirements
- 3+ years of SRE, infrastructure, platform, or systems engineering experience, or equivalent hands-on internship experience
- Linux fundamentals and hands-on troubleshooting experience
- Hands-on Kubernetes experience
- Experience with infrastructure automation or GitOps
- Experience with observability tools
- Experience writing tooling and automation in Go or Python
- Networking fundamentals including TCP/IP, DNS, and load balancing
- Methodical debugging of Linux, networking, or distributed systems
- Ownership of incidents through lasting fixes
- Judgement on when to automate, fix manually, or escalate
- Clear communication and ability to work across teams
Responsibilities
- Run and improve data-centre services, deployment pipelines, and secret provisioning
- Contribute to SLIs and SLOs for core platform services
- Respond to incidents, lead smaller incidents, contribute to blameless reviews, and deliver owned fixes
- Diagnose failures across GPU hardware, servers, Linux, networking, Kubernetes, and services
- Build automation that removes repetitive operational work
- Make deployments safer through release criteria, readiness checks, progressive rollouts, and fast rollback
- Build monitoring and extend metrics, logs, traces, and alerts
- Contribute to capacity planning, failover, and redundancy design
- Raise reliability risks and record them in the infrastructure risk register
- Write runbooks and documentation and support peers through code reviews
Benefits
- Equity compensation
- Local benefits
- Paid primary and secondary on-call rotation