Senior Customer Success Engineer I - Kubernetes

Reposted 6 Hours Ago
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Hyderabad, Telangana, 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
As a Senior Customer Success Engineer, you'll support customers in using Kubernetes, troubleshoot issues, and guide them through best practices while collaborating with engineering and product teams.
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 Senior Customer Success Engineer I – Kubernetes who is passionate about cloud infrastructure, container orchestration, and delivering exceptional customer experiences, while providing high-touch, white-glove support to strategic accounts.

As a Senior Customer Success Engineer I at DigitalOcean, you will play a critical role in supporting and empowering customers to successfully run production workloads on Kubernetes. You will work closely with customers to troubleshoot complex issues, optimize cluster performance, and guide them in adopting best practices across Kubernetes and cloud-native architectures.

In this role, you will bring deep technical expertise in Kubernetes and act as an escalation point for complex, business-critical customer scenarios. You will collaborate cross-functionally with Product and Engineering to drive customer outcomes, influence platform improvements, and mentor junior engineers. This role reports to the Manager, Customer Success Engineer.

What You'll Do
  • Deliver advanced technical support for Kubernetes and cloud infrastructure, including cluster provisioning, container products, networking, scaling, workload orchestration, and container registry.
  • Troubleshoot complex production issues affecting cluster performance, pod scheduling, ingress, storage, and security
  • Guide strategic customers through onboarding, migrations, and adoption of Kubernetes, helping them design scalable, resilient, and secure architectures while ensuring smooth production readiness and resolving complex escalations.
  • Serve as the escalation point for high-impact and business-critical Kubernetes issues, driving resolution through coordination with Engineering, and Product teams
  • Guide customers in designing scalable, resilient, and secure Kubernetes architectures on DigitalOcean
  • Mentor IC1/IC2 engineers and drive team growth by contributing to documentation, playbooks, and leverage automation tools to optimize workflows and knowledge sharing
  • Partner cross-functionally with leadership, Product, and Engineering to shape support strategy, feature needs, and best practices for Managed Kubernetes.
  • Use observability and monitoring tools to diagnose system behavior and performance bottlenecks
Key Metrics
  • Customer Satisfaction (CSAT)
  • Time to Resolution / SLA adherence
  • Escalation quality and resolution effectiveness
  • Documentation and knowledge base contributions
  • Customer adoption of best practices
What You'll Add to DigitalOcean

Required Experience & skills

  • 4–7+ years of experience in technical support, SRE, DevOps, or cloud engineering roles
  • Certified Kubernetes Administrator (CKA) with hands-on expertise in managing and troubleshooting production clusters.
  • Strong hands-on experience with Kubernetes (cluster management, deployments, troubleshooting) in production environments
  • Deep understanding of Kubernetes components (API server, etcd, scheduler, controller manager, kubelet.)
  • Solid foundation in Linux systems, cloud infrastructure, and distributed systems
  • Strong knowledge of networking concepts including Kubernetes networking, ingress controllers, load balancing, and storage solutions (persistent volumes, CSI drivers)
  • Expertise in troubleshooting across application, container, and infrastructure layers
  • Customer-first mindset with the ability to manage high-pressure, business-critical situations and delivering great support experiences
  • Strong communication skills with the ability to explain complex technical concepts clearly
  • Ability to work independently, take ownership, and collaborate across teams in a fast-paced environment
Preferred Qualification:
  • Experience with managed Kubernetes platforms (DOKS, EKS, GKE, AKS) and multi-cloud or hybrid environments
  • Hands-on experience with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible.
  • Experience with CI/CD pipelines and GitOps workflows (ArgoCD, Flux)
  • Exposure to observability and monitoring tools (Prometheus, Grafana, Loki, OpenTelemetry)
  • Knowledge of Kubernetes security best practices (RBAC, network policies, secrets management)
  • Contributions to open-source projects, blogs, or documentation in Kubernetes/cloud-native ecosystems
  • At least one of the Advanced Kubernetes certifications (CKAD, CKS)

Bonus: Experience with one or more programming/scripting languages (Go, Python, Bash)

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.

Skills Required

  • 4-7+ years of experience in technical support, SRE, DevOps, or cloud engineering roles
  • Certified Kubernetes Administrator (CKA)
  • Strong hands-on experience with Kubernetes in production environments
  • Deep understanding of Kubernetes components such as API server and etcd
  • Solid foundation in Linux systems, cloud infrastructure, and distributed systems
  • Strong knowledge of networking concepts including Kubernetes networking
  • Expertise in troubleshooting across application, container, and infrastructure layers
  • Strong communication skills to explain complex technical concepts clearly
  • Ability to work independently and take ownership in a fast-paced environment

What the Team is Saying

DigitalOcean Compensation & Benefits Highlights

  • Healthcare Strength Medical, dental, vision, and mental-health support are prominently offered alongside employer-paid life, AD&D, and disability coverage, supplemented by tools such as Headspace, Rightway, and Carrot. Coverage is positioned as market-leading and oriented toward comprehensive wellness.
  • Leave & Time Off Breadth Flexible or unlimited PTO is emphasized, and paid parental leave includes a structured part-time transition-back program. Time off programs are highlighted as a valued part of the overall package.
  • Retirement Support A 401(k) with employer match and immediate vesting is offered in the U.S., alongside tax-advantaged accounts like HSA/FSA. These elements underscore long-term savings support in addition to core insurance coverage.

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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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Santa Clara, CA
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