Design, build, and maintain scalable NFS solutions. Collaborate with a team to develop high-performance storage services and contribute to open-source communities.
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
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 You’ll 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.
- 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.
- 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.
- Strong systems software background with experience designing, building, and operating distributed file/storage systems (NFS or equivalent) at scale.
- Proficiency in Go and familiarity with other systems languages used in the stack.
- Experience integrating storage with Kubernetes (CSI, operators) and building/operating cloud-native storage services.
- Hands-on experience with CI/CD, test automation, and release engineering — with a focus on developer experience, safe rollouts (canary/gradual), and reducing manual intervention.
- Proven track record of troubleshooting performance/scale issues and owning on-call/incident response.
- Familiarity with observability tooling (metrics, tracing, logging) and production SLOs.
- Experience contributing to open-source projects and writing technical docs or blog posts.
- experience with gRPC, Ceph or other distributed data stores, storage networking (NVMe/TCP, RDMA), or storage hardware tuning.
- Familiarity with multi-protocol storage systems supporting both block and file storage.
*This job is located in Hyderabad, India
#LI-Hybrid
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Top Skills
Ci/Cd
Go
Kubernetes
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