Storage Engineering Manager

Location: European Union, London, Finland; hybrid

Compensation includes cash and equity with local benefits.

Company

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

What you will do

• Lead the Storage team, including 1:1s, coaching, hiring, onboarding, career development, performance, and compensation input.
• Define ownership across block storage, shared filesystems, object storage, dedicated customer clusters, new-site buildout, performance, and capacity.
• Establish sustainable on-call and incident practices, including escalation policies, runbooks, blameless postmortems, handovers, and high-risk change management.
• Own storage reliability, durability, availability, security, compliance, capacity, upgrade, and hardware-risk outcomes.
• Prioritize requests from Cloud, Provisioning, Platform, AI/ML, and customer-facing teams, and represent Storage to infrastructure peers, product teams, vendors, and customers.
• Drive quarterly and multi-quarter projects including the object-storage launch, fleet-wide Ceph upgrades, shared-filesystem strategy, VM volume features, and repeatable storage deployment for new data centers.

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 incident response.
• Strong understanding of block, file, and object storage trade-offs, including RBD, CephFS, NFS, S3, replication, erasure coding, latency, throughput, and storage-network interaction.
• Deep Linux systems and performance knowledge covering NVMe, filesystems, storage networking, MTU, bonding, and performance analysis.
• Experience designing or improving on-call rotations and incident processes.
• Experience moving a team from heroics to repeatable processes through runbooks, change management, planning, and metrics.
• Sufficient technical credibility to make sound judgments on storage engineering work.
• Strong written communication and the ability to turn ambiguity into actionable plans.

Nice to have

• Ceph RGW multisite, S3 compatibility, and customer-facing object storage.
• High-performance or parallel filesystems for AI, including Lustre, VAST, DDN, WEKA, GPUDirect Storage, RDMA, or NVMe-oF.
• Storage for GPU clusters and ML training or inference, including NVIDIA reference architectures.
• Storage for virtualization with QEMU/KVM and Kubernetes with CSI or Rook.
• Experience operating storage across multiple data centers or bringing up new sites repeatably.
• Vendor management, structured hardware or software evaluations, storage security, encryption at rest, data sanitization, ISO 27001, or SOC 2.

Culture & Benefits

• Work in a fast-growing AI infrastructure company opening data centers at a rate of more than one per month.
• Collaborate with engineers, researchers, and partners across the global AI ecosystem.
• Cash and equity compensation with local benefits.
• International environment with more than 40 nationalities.

Hiring process

• Apply through the Careers page; applications sent by email are not accepted.
• There is no artificial deadline, and hiring proceeds when a suitable candidate is found.