Senior Director of Engineering – Storage Products

Posted An Hour Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
DigitalOcean is the Inference Cloud built for production AI.
The Role
Lead and scale DigitalOcean's Storage Products engineering in India, owning strategy, architecture, reliability, and delivery across object, block, and file storage, backups and snapshots. Build and grow multiple teams, drive platform scalability, cost optimization, operational excellence, and partner with cross-functional leaders to deliver global storage services.
Summary Generated by Built In

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 a visionary Senior Director of Engineering to lead and scale our Storage Products engineering organization in India. In this role, you will own the end-to-end engineering strategy and execution for DigitalOcean's storage portfolio, including Object Storage, Block Storage, File Storage, Backups, and Snapshots. You will build and lead multiple high-performing teams, shape the technical direction of our storage platform, and partner closely with senior product, design, and business leadership to deliver scalable, reliable, and cost-efficient storage services for customers around the world.

What You'll Do
  • Define and own the multi-year engineering strategy and roadmap for Storage Products in India, aligning closely with global product and infrastructure leadership.
  • Lead, grow, and inspire a multi-team engineering organization spanning Object Storage, Block Storage, File Storage, Backup and Snapshot services, storage infrastructure, and platform engineering.
  • Partner with VP-level and C-suite stakeholders across Product, Infrastructure, Finance, and GTM teams to translate business priorities into executable technical plans.
  • Drive organizational design, headcount planning, and talent strategy to scale the India engineering function in support of DigitalOcean's storage growth objectives.
  • Establish engineering excellence across teams, including coding standards, architectural reviews, incident management, operational readiness, reliability engineering, and service health benchmarks.
  • Champion a culture of customer obsession, operational excellence, ownership, and continuous improvement across the full software development lifecycle.
  • Lead sustaining engineering strategy, including technical debt reduction, platform modernization, operational efficiency improvements, and long-term storage platform health.
  • Manage delivery accountability across multiple concurrent programs, ensuring successful preview and GA launches while proactively mitigating dependencies and execution risks.
  • Drive platform scalability, durability, availability, and performance improvements across DigitalOcean's storage offerings.
  • Partner closely with infrastructure teams to optimize storage economics, hardware utilization, capacity planning, and datacenter expansion strategies.
  • Recruit, retain, and develop senior engineering talent; drive performance management, career development frameworks, and succession planning across the India organization.
  • Represent the India engineering organization in global leadership forums and serve as the primary escalation point for storage product engineering decisions.
What You'll Add to DigitalOcean
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 15+ years of experience in software engineering, with at least 6+ years in senior engineering leadership or management roles, including managing managers.
  • Demonstrated track record of building and scaling engineering organizations (50+ engineers) delivering cloud-scale storage platforms, distributed systems, or infrastructure products.
  • Deep expertise in distributed storage systems, including object storage, block storage, file systems, data durability, replication, consistency models, and disaster recovery architectures.
  • Proven ability to influence and align senior cross-functional stakeholders across Product, Infrastructure, Finance, and Operations in a global organizational structure.
  • 8+ years of experience building storage, infrastructure, cloud platform, or data management products.
  • Deep understanding of distributed systems at scale, including consensus protocols, replication, partitioning, fault tolerance, durability, and consistency tradeoffs.
  • Experience operating large-scale storage platforms supporting multi-petabyte environments and billions of customer transactions.
  • Deep Kubernetes expertise running stateful workloads and cloud-native storage services at scale.
  • Experience building and operating highly available services with stringent durability, recovery point objective (RPO), and recovery time objective (RTO) requirements.
  • Strong understanding of storage performance optimization, capacity management, observability, and operational excellence.
  • Exceptional communication skills, executive presence, and the ability to operate effectively across time zones in a globally distributed company.
  • Track record of operating with high ownership and bias for action in fast-paced, ambiguous environments.
Nice to Have
  • Experience architecting and operating large-scale distributed storage systems such as Ceph, MinIO, OpenZFS, Lustre, GlusterFS, or similar technologies.
  • Experience with object storage systems compatible with Amazon S3 APIs.
  • Experience building backup, snapshot, disaster recovery, archival, or data protection solutions.
  • Familiarity with AI/ML infrastructure workloads and storage requirements, including high-throughput file systems, data lakes, and GPU-accelerated environments.
  • Contributions to open-source storage, infrastructure, or cloud-native projects.
  • Experience leading engineering organizations through hypergrowth or significant organizational transformation.

*This job is located in Bengaluru, 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.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 15+ years of software engineering experience
  • 6+ years in senior engineering leadership or management roles, including managing managers
  • Proven track record building and scaling engineering organizations (50+ engineers)
  • Deep expertise in distributed storage systems (object, block, file systems, durability, replication)
  • 8+ years building storage, infrastructure, cloud platform, or data management products
  • Deep understanding of distributed systems at scale (consensus, replication, partitioning, fault tolerance)
  • Experience operating large-scale storage platforms (multi-petabyte, high transaction volumes)
  • Deep Kubernetes expertise running stateful workloads and cloud-native storage services
  • Experience building and operating highly available services with strict RPO/RTO requirements
  • Strong understanding of storage performance optimization, capacity management, observability, and operational excellence
  • Exceptional communication skills and executive presence; ability to operate across time zones
  • Track record of high ownership and bias for action in fast-paced, ambiguous environments
  • Experience with Ceph, MinIO, OpenZFS, Lustre, GlusterFS or similar (nice to have)
  • Experience with S3-compatible object storage systems (nice to have)
  • Experience building backup, snapshot, disaster recovery, archival, or data protection solutions (nice to have)
  • Familiarity with AI/ML infrastructure workloads, high-throughput file systems, and GPU-accelerated environments (nice to have)
  • Contributions to open-source storage, infrastructure, or cloud-native projects (nice to have)
  • Experience leading engineering organizations through hypergrowth or organizational transformation (nice to have)

What the Team is Saying

DigitalOcean Compensation & Benefits Highlights

  • Healthcare Strength Health coverage includes medical, dental, vision, and mental-health support plus employer-paid life/AD&D/disability, with multiple plan options and above-average employer contributions. Offerings are described as market-leading and in some cases fully paid to keep premiums low.
  • Equity Value & Accessibility Equity awards (new-hire and performance RSUs) are paired with an Employee Stock Purchase Plan offered at a discount. This ownership component augments cash compensation and broadens participation in company growth.
  • Parental & Family Support Paid parental leave is provided for a defined period and includes a structured, part-time transition-back program. The approach emphasizes a smoother return-to-work experience for new parents.

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The Company
HQ: Broomfield, CO
1,400 Employees
Year Founded: 2012

What We Do

DigitalOcean is the Inference Cloud — a full-stack, production-ready cloud platform built to run AI applications with predictable performance, sustainable economics, and radically simpler operations at scale. We are built for teams turning AI into real products — not just training models. Our advantage is not fewer features, but fewer failure modes when operating AI at scale — combining minimal operational overhead, predictable cost efficiency, and a full-stack cloud that works as a system. Hyperscalers are broad by design. Neoclouds are infrastructure-first. DigitalOcean is inference-first — with a real cloud underneath. It combines inference-optimized compute, managed inference software, and integrated cloud capabilities that reduce operational burden for teams running real workloads. Inference is the foundation—not the boundary. Everything else builds on top of it.

Why Work With Us

At DO, we do career-defining work. We innovate with AI and build cutting-edge tech. Our rewards to match that intensity - to motivate you, recognize your impact, and give you what you need to thrive. If you have a growth mindset, like to think big and bold, and are energized by the fast-paced environment, you'll find your place here.

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DigitalOcean Offices

Remote Workspace

Employees work remotely.

We commit to both remote work and in-person collaboration. These ways of working are dependent on specific roles and are mutually agreed upon by employees. In the US, we are mainly remote. In our APAC locations, we have a hybrid in-office approach.

Typical time on-site:
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HQBroomfield, CO
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Hyderabad, Telangana
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