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Senior Software Engineer II - Storage

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Description

Position Overview:

We are looking for an engineer who will help lead the development and support of current and future storage platforms at scale, with a particular focus on Network File System (NFS) and scalable file storage solutions.
The Storage Team supports the operations and development of block volumes, backups, image management, object storage, and scalable file systems like NFS. Our goal is to create a cohesive, singular interface to hypervisor storage, where storage class placement decisions are transparent to the hypervisor client and leverage the full range of block and file storage classes to best satisfy customer needs.

The selected candidate will have the opportunity to make impactful contributions to key software, contribute to the open source community, and debug interesting problems at cloud scale.

What Youll Do:

  • Design, build, and maintain scalable NFS solutions and distributed file systems.
  • Support the creation and operations of distributed systems at scale.
  • Program in Go and other languages to develop high-performance storage solutions.
  • Collaborate with a motivated team of peers to architect, develop, and optimize storage services.
  • Contribute to and consume from free/open-source software communities, particularly in the file storage space.
  • Solve complex, large-scale problems in a technically rewarding environment.

Key Metrics:

  • Service availability (SLO/SLA): Monthly uptime for control plane and data plane (e.g., control plane 99.9%, data plane 99.95%); reported monthly.
  • Mean time to detect / recover (MTTD / MTTR): Median detection and recovery times for Sev-1/Sev-2 incidents; tracked per quarter.
  • Incident volume & change-failure rate: Number of incidents by severity and percentage of releases that cause rollbacks or incidents; tracked per release and monthly.
  • Customer adoption & usage growth: Growth in active NFS customers, number of active mounts/clients, and total provisioned capacity (GiB/TiB) measured QoQ.
  • Operational efficiency / automation: Reduction in manual ops (on-call time, manual runbooks, toil) measured as % decrease in operational tickets or hours.
  • Feature delivery: % of planned milestones delivered on time and meeting acceptance criteria.

What You’ll Add to DigitalOcean:

  • Deep knowledge of NFS, scalable file systems, and distributed storage architectures.
  • Experience designing, deploying, and operating highly available file storage solutions.
  • Familiarity with Object Storage and distributed File Systems and how to scale those solutions.
  • Expertise in concurrency/parallelism models in modern programming languages like Go.
  • A passion for open-source contributions and collaborating with the storage community.

*This job is located in Bengaluru, India

JR: 2026-8243

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