--- title: 'Senior Customer Success Engineer I at DigitalOcean' canonical: 'https://feeny.ai/job/senior-customer-success-engineer-i-digitalocean-hyderabad-vs5zmm616dsg' type: 'job' last_seen: '2026-10-20' --- # Senior Customer Success Engineer I at DigitalOcean - **Company:** DigitalOcean - **Location:** Hyderabad, India - **Posted:** 2026-04-01 - **Last confirmed live:** 2026-10-20 - **Apply:** https://www.digitalocean.com/careers/position/apply/?gh_jid=7761097 ## Job description 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 Senior Customer Success Engineer SME with a minimum 5 years of experience and deep expertise in Kubernetes, AI/ML workloads, and GPU infrastructure who is passionate about helping our customers scale and innovate with cutting-edge technologies. As a Senior Customer Success Engineer at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. You will be a key member of our advanced support team, helping DigitalOcean's strategic customers succeed by providing white-glove support and guidance across complex technical domains. Reporting to the Manager of Customer Success Engineering, you’ll act as both a trusted advisor and a technical troubleshooter, empowering our customers to build and scale confidently on our platform. What You'll Do: - Act as a technical subject matter expert (SME) for Kubernetes, AI/ML workloads, and GPU-backed infrastructure. - Troubleshoot and resolve advanced support cases related to orchestration, performance tuning, container networking, and GPU-based compute. - Engage directly with our strategic and high-value customers via tickets, Slack, email, and live sessions. - Partner with Engineering and Product teams to provide feedback on platform usability, bugs, and customer needs. - Help shape internal runbooks, SOPs, and documentation to scale AI/ML and GPU-related support. - Participate in incident management, root cause analysis, and retrospective reviews. - Contribute to the architecture and optimization of customer workloads for high availability and cost efficiency. - Educate and mentor internal team members on Kubernetes and GPU-based architectures. - Influence roadmap priorities by surfacing recurring pain points and opportunities. What You’ll Add to DigitalOcean: - 5+ years in technical support, DevOps, solutions engineering, or SRE roles. - Deep experience with Kubernetes (preferably CKA-certified) in production environments. - Experience supporting AI/ML workflows using GPUs (e.g., NVIDIA A100, L4, CUDA, TensorFlow, PyTorch). - Familiarity with container lifecycle management, GPU scheduling, and scaling AI jobs in Kubernetes. - Advanced knowledge of Linux systems administration (Ubuntu/Debian), shell scripting, and performance tuning. - Deep Knowledge of Bare Metal and Virtualized environments - Ability to communicate complex technical topics clearly to customers and cross-functional stakeholders. - Experience troubleshooting full-stack deployments—containers, orchestration, networking, and storage. - Comfortable working independently and collaboratively in a remote environment. Bonus Points For: - Familiarity with cloud-native observability stacks (Prometheus, Grafana, OpenTelemetry). - Hands-on experience with Paperspace, JupyterHub, Kubeflow, or Ray. - Exposure to networking topics like CNI plugins, overlay networks, and ingress controllers. - Prior experience in customer-facing roles at IaaS/PaaS providers or ML Ops platforms. JR: [2026-7644] #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. ## About DigitalOcean ## Company Overview - **One-liner**: DigitalOcean provides a simple, scalable cloud platform for developers, startups, and SMBs, and is now building an AI-native cloud with inference and managed agent services. - **Entity Type**: Public (NYSE: DOCN) - **Headquarters**: New York, NY, USA - **Founded**: 2012 - **Founders**: Ben Uretsky, Moisey Uretsky, Jeff Carr, Alec Hartman, Mitch Wainer ## Core Business - **Primary industry**: Cloud computing, AI infrastructure - **Target customers**: Developers (B2B), startups, and small-to-medium businesses (Digital Native Enterprises) - **Mission**: “Simplify cloud and AI so builders can spend more time creating software that changes the world.” [digitalocean.com/about](https://www.digitalocean.com/about) ## Products & Services - **Droplet**: Simple, scalable virtual machines for any workload. - **Managed Kubernetes**: Container orchestration with easy management. - **App Platform**: Fully managed platform for building, deploying, and scaling apps. - **Inference Engine**: AI inference service offering over 70 models (open-weight and frontier), with serverless, dedicated, or batch inference and an Inference Router for cost optimization. [digitalocean.com](https://www.digitalocean.com/) - **Managed Agents**: Production-ready AI agents that run on the same integrated stack as inference and infrastructure, avoiding cross-vendor hops and egress fees. - **Core Infrastructure**: 20 data centers across 11 regions, air- and liquid-cooled GPU clusters (NVIDIA H100/H200/Blackwell, AMD Instinct MI300X/MI325X/MI350X) with 400G RoCE fabric. ## Market Standing - **Valuation/Market Cap**: Not publicly available in provided sources (public company; check NYSE: DOCN) - **Key Metric**: Over 640,000 customers globally; more than 1,500 employees (as of early 2026). [digitalocean.com/blog/why-2026-is-the-year-to-join-digitalocean](https://www.digitalocean.com/blog/why-2026-is-the-year-to-join-digitalocean) - **Notable Investors/Partners**: As a public company, its shareholders include institutional investors. No specific partners listed in recent company materials. - **Growth Signals**: Rapid headcount growth (1,500+ employees), strong customer base expansion (640k+), and a strategic pivot to an “agentic cloud” with new AI products in public preview. ## Competitive Advantages - **Simplicity**: Known for developer-friendly interfaces and documentation that reduce complexity compared to larger cloud providers. - **Integrated AI Stack**: Covers five layers (infrastructure, inference, agents, etc.) in one platform, eliminating cross-vendor integration costs and egress fees. - **Cost-Effectiveness**: Transparent pricing and competitive latency (e.g., 3.9× higher output speed vs. AWS Bedrock, independently benchmarked on DeepSeek V3.2). [digitalocean.com](https://www.digitalocean.com/) - **Community**: Strong open-source and developer community contributions. ## Strategic Focus - Building the “comprehensive agentic cloud” – a fully integrated stack for AI-powered applications. - Expanding inference and managed agent capabilities to attract digital native enterprises. - Investing in GPU infrastructure (NVIDIA and AMD) and global data center expansion. ## Why Work Here - **Work Model**: Offers fully remote, hybrid (three days in office), and in-office options depending on role and location. Offices in the US (Austin, Boston, Denver, SF Bay Area, Seattle), India (Hyderabad), and Pakistan (Karachi). [digitalocean.com/careers](https://www.digitalocean.com/careers) - **Culture**: Values are Fast, Simple, Bold, Proud, Love, Community, and Growth. Emphasis on ownership, bias for action, and thinking big. - **Compensation**: Competitive base salaries at market midpoint, annual bonus targets, performance equity grants, and an Employee Stock Purchase Plan (ESPP). - **Benefits**: Generous wellness benefits, flexible PTO, above-average parental leave, health insurance (medical, dental, vision, mental health), 401(k) with safe harbor match, life insurance, and income protection. - **Professional Development**: Unlimited access to LinkedIn Learning, education reimbursement for courses/certifications, book program, conference attendance, and internal learning opportunities. - **Interview Process**: Human resume review (no bots), recruiter video call, hiring manager interview, then team interviews. Accommodations available. [digitalocean.com/careers](https://www.digitalocean.com/careers) - **Perks**: Monthly internet/phone stipend, wellness stipend, home office setup allowance, milestone and anniversary gift programs, employee giving match via Groundswell. ## Sources 1. [DigitalOcean Careers Page](https://www.digitalocean.com/careers) 2. [DigitalOcean About Page](https://www.digitalocean.com/about) 3. [DigitalOcean Product (AI-Native Cloud)](https://www.digitalocean.com/) 4. [Why 2026 is the Year to Join DigitalOcean](https://www.digitalocean.com/blog/why-2026-is-the-year-to-join-digitalocean) 5. [DigitalOcean Open Roles](https://www.digitalocean.com/careers/open-roles) ## Other roles at DigitalOcean - [Forward Deployed Applied Scientist II (Agentic AI)](https://feeny.ai/job/forward-deployed-applied-scientist-ii-agentic-ai-digitalocean-seattle-f5z47h5jgt1r) — Seattle, WA - [Forward Deployed Applied Scientist II (Agentic AI)](https://feeny.ai/job/forward-deployed-applied-scientist-ii-agentic-ai-digitalocean-denver-8w4tz9nhfmha) — Denver, CO - [Forward Deployed Applied Scientist II (Agentic AI)](https://feeny.ai/job/forward-deployed-applied-scientist-ii-agentic-ai-digitalocean-boston-8jwdbjae0a1h) — Boston, MA - [Forward Deployed Applied Scientist II (Agentic AI)](https://feeny.ai/job/forward-deployed-applied-scientist-ii-agentic-ai-digitalocean-austin-j2frqcz3rdqj) — Austin, TX - [Forward Deployed Applied Scientist II (Agentic AI)](https://feeny.ai/job/forward-deployed-applied-scientist-ii-agentic-ai-digitalocean-san-francisco-z7bhppnzmfj1) — San Francisco, CA - [Senior Software Engineer I, Network Products + LBaaS](https://feeny.ai/job/senior-software-engineer-i-network-products-lbaas-digitalocean-seattle-x39qfcdrph4z) — Seattle, WA - [Staff Product Designer, Console Experience](https://feeny.ai/job/staff-product-designer-console-experience-digitalocean-denver-5vzx2hj22fy3) — Denver, CO - [Staff Product Designer, Console Experience](https://feeny.ai/job/staff-product-designer-console-experience-digitalocean-boston-nn27ygdekt4j) — Boston, MA - [Staff Product Designer, Console Experience](https://feeny.ai/job/staff-product-designer-console-experience-digitalocean-austin-shz1p6j62qny) — Austin, TX - [Staff Product Designer, Console Experience](https://feeny.ai/job/staff-product-designer-console-experience-digitalocean-san-francisco-mxxtjpntd6xn) — San Francisco, CA