About
Verda builds cloud infrastructure for AI, providing instant, on-demand compute at scale. Headquartered in Helsinki, the company operates across Europe, the US and Asia.
Responsibilities
•Manage the Storage team through 1:1s, coaching, career development, performance management, and compensation input
•Own the hiring plan, define team profiles and levels, run the hiring process, and onboard new engineers
•Spread storage knowledge through pairing, internal training, and documentation
•Establish ownership areas across block storage and VM volumes, shared filesystems, object storage, dedicated customer clusters, new-site buildout, performance, and capacity
•Run a sustainable sheriff and on-call rotation with escalation policies, runbooks, blameless postmortems, and written handovers
•Introduce change management for high-risk operations, including major Ceph upgrades, rolling node maintenance, rebalancing, and multi-site changes
•Own storage security and compliance with the Security team, covering vulnerability response, encryption, data lifecycle and sanitisation, and customer-data handling rules
•Track service health and delivery metrics, including durability, availability, latency, capacity headroom, and incident trends, and act on them
•Introduce lightweight triage and prioritisation for requests from Cloud, Provisioning, Platform, AI/ML, and customer-facing teams
•Represent the team to Infrastructure peers, product teams, and customers, and negotiate scope and priorities on the team's behalf
•Work with DC Ops and procurement on capacity planning, hardware and vendor evaluations, and decisions that account for cost, risk, and timeline
•Turn the technical roadmap into quarterly plans with owners, milestones, and status, and drive multi-quarter projects to completion
Requirements
•3+ years managing infrastructure or software engineers, including hiring, performance management, and leading a team through significant growth or change
•5+ years of hands-on production experience with distributed storage, ideally Ceph, including upgrades, recovery, rebalancing, capacity expansion, hardware failures, and related incidents
•Solid understanding of block, file, and object storage and their trade-offs, including RBD, CephFS, NFS, S3, replication, erasure coding, latency, throughput, and storage-network interactions
•Linux systems and performance expertise, including NVMe, filesystems, storage networking, and performance analysis
•Experience designing or improving an on-call rotation and incident process
•Track record of moving a team from heroics to process through runbooks, change management, planning, and metrics
•Strong written communication and the technical credibility to make sound engineering judgements
Nice to have
Ceph RGW multisite, S3 compatibility, customer-facing object storage, high-performance shared or parallel filesystems for AI, Lustre, VAST, DDN, WEKA, GPUDirect Storage, RDMA, NVMe-oF, storage for GPU clusters and ML training or inference, checkpointing, dataset throughput, NVIDIA reference architectures, QEMU/KVM, Kubernetes CSI, Rook, storage across many datacenters, repeatable new-site launches, vendor management, structured hardware or software evaluations, storage security and compliance, encryption at rest, data sanitisation, ISO 27001, SOC 2
Conditions
No conditions stated in the posting.
