Storage Engineering Manager (AI Cloud)

Location: Hybrid from the Helsinki or London office, or fully remote within the EU.

Company

hirify.global is building a full-stack AI cloud spanning datacenters, hardware, and a cloud platform for AI teams.

What you will do

• Lead the Storage team, including 1:1s, coaching, career development, performance management, compensation input, hiring, and onboarding.
• Set team structure, ownership areas, priorities, quarterly plans, milestones, and delivery expectations across storage services.
• Establish reliable operating practices including on-call rotations, escalation policies, runbooks, change management, postmortems, and written handovers.
• Own storage durability, availability, capacity, performance, upgrade, hardware, security, and compliance outcomes.
• Represent Storage to Infrastructure, Cloud, Platform, AI/ML, customer-facing, procurement, and data-center operations stakeholders.
• Drive projects including the customer launch of Object Storage, fleet-wide Ceph upgrades, shared filesystem strategy, VM volume features, and repeatable storage deployment for new datacenters.

Requirements

• 3+ years managing infrastructure or software engineers, including hiring, performance management, and leading teams through growth or change.
• 5+ years of hands-on production experience with distributed storage, ideally Ceph, including upgrades, recovery, rebalancing, capacity expansion, hardware failures, and incident response.
• Strong understanding of block, file, and object storage trade-offs, including RBD, CephFS, NFS, S3, replication, erasure coding, latency, throughput, and storage networking.
• Deep Linux systems and performance experience with NVMe, filesystems, MTU, bonding, and performance analysis.
• Experience designing or improving humane on-call and incident-management processes, with strong written communication skills.
• Ability to earn engineering trust through sufficient technical depth and turn ambiguity into actionable plans.

Nice to have

• Ceph RGW multisite, S3-compatible object storage, and customer-facing storage products.
• High-performance or parallel filesystems such as Lustre, VAST, DDN, WEKA, GPUDirect Storage, RDMA, or NVMe-oF.
• Storage for GPU clusters, ML training or inference, virtualization, QEMU/KVM, Kubernetes, CSI, or Rook.
• Multi-datacenter storage operations, repeatable site deployment, vendor management, or hardware and software evaluations.
• Storage security and compliance, including encryption at rest, data sanitization, ISO 27001, or SOC 2.

Culture & Benefits

• Work alongside engineers, researchers, and partners across the AI ecosystem.
• Collaborate in an international environment with 40+ nationalities.
• Receive cash and equity compensation along with local benefits.
• Join a growing infrastructure organization opening new datacenter sites regularly.