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WekaIO

AI-native data platform for high-performance workloads

Designated Service Engineer - Ceph Expert

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • At least 10 years of experience in customer-facing technical roles solving complex enterprise infrastructure issues.
  • At least 5 years of hands-on production Ceph experience, including cluster design, deployment, upgrades, and day-2 operations.
  • Strong understanding of Ceph internals and operational mechanics, including MON quorum, MGR active/standby, OSD behavior, CRUSH and CRUSH maps, pools and placement groups, recovery/backfill, and rebalancing.
  • Experience operating large-scale, multi-petabyte Ceph environments and handling fleet-size, placement-group scaling, and long-running recovery events.
  • Practical experience with Ceph RGW and S3 concepts, including buckets, users/tenants, load balancing, scaling patterns, and performance troubleshooting.
  • Expertise in Linux/Unix administration in multi-platform, distributed environments.
  • Strong troubleshooting skills across hardware, operating systems, networking, and distributed storage layers, including diagnosing performance bottlenecks and failure scenarios.
  • Deep understanding of networking, including InfiniBand, Ethernet, DPDK, UCX, cloud computing, and distributed storage.
  • Experience with observability and monitoring stacks, including Prometheus/Grafana and common log and metrics tooling.
  • Proficiency in Python and/or Bash, and comfort building automation for monitoring, diagnostics, and repeatable operational tasks.
  • Strong written and verbal communication skills, including the ability to explain complex technical topics to technical and non-technical stakeholders.

Responsibilities

  • Architect, deploy, and operate large-scale production Ceph clusters supporting S3, emphasizing availability, performance, and operational simplicity.
  • Own cluster lifecycle activities, including upgrades, patching, configuration management, routine health checks, and proactive risk remediation.
  • Troubleshoot complex issues across the Ceph stack and lead incident response and root-cause analysis.
  • Establish and maintain runbooks, operational best practices, and customer-facing documentation; improve reliability, observability, and automation.
  • Partner with customer teams on security and compliance requirements.
  • Advise on hardware and topology choices to meet workload requirements.
  • Serve as the primary technical liaison between customers and WEKA Engineering/Product to address feature gaps, reliability concerns, and documentation improvements.
  • Own, track, and document customer issues through the ticketing system; drive issues to resolution with clear, timely communication and executive-ready updates when needed.
  • Proactively monitor customer environments using observability and remote monitoring tools to identify and remediate risks before they affect production.
  • Support account teams, including Customer Success, Sales Engineering, and partners/resellers, with technical expertise and credibility with senior customer stakeholders.
  • Create and share internal and customer-facing documentation, including FAQs, knowledge-base articles, runbooks, and repeatable troubleshooting playbooks.
  • Manage multiple engagements and cases concurrently, balancing urgency, impact, and long-term customer outcomes.
  • Participate in on-call and follow-the-sun support rotations; work occasional alternative hours, including nights, weekends, and holidays, and travel as needed.
  • Learn WEKA architecture, tooling, and support processes, then progressively take ownership of designated services engagements beyond Ceph.
  • Develop deeper expertise in S3-compatible object-storage concepts and ecosystems, including clients, load balancing, performance testing, and multi-tenancy, with mentorship from WEKA subject-matter experts.
  • Partner with internal teams to improve product supportability and operational excellence for object-storage use cases.

Desired Qualifications

  • Experience with Kubernetes/containers and/or cloud platforms such as AWS, Azure, OCI, or GCP in storage-heavy environments.
  • Familiarity with Jira, Confluence, and Slack, and experience collaborating across Support, Engineering, and Product teams.
  • Experience supporting HPC or AI/ML infrastructure, including GPU clusters, high-throughput networking, and performance benchmarking.
  • Experience with infrastructure-as-code or configuration management tools such as Ansible or Terraform.
  • Strong technical writing skills and a habit of creating reusable runbooks and playbooks.

About the Company

WekaIO

AI-native data platform for high-performance workloads

WEKA is an AI-native data platform that provides a cloud- and hardware-agnostic software solution for performance-heavy AI, ML, and GPU workloads. The WEKA Data Platform organizes and speeds data across on-premises, cloud, edge, and hybrid environments to turn isolated data into dynamic pipelines. It delivers high throughput and scalable data management to support enterprise AI initiatives and research workloads, helping teams gain faster insights. WEKA differentiates itself with a single scalable platform that works across multiple infrastructure footprints and emphasizes energy efficiency, aiming to simplify and accelerate data-driven AI workflows for large enterprises and research groups while replacing legacy data silos.

Company size
501-1,000
Company stage
Series E
Total funding
$465.1M
Headquarters
Campbell, CA
Founded
2013

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