Cloud Operations Engineer I
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Key skills for this role
Key Skills for This Role
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We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale.
We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Cloud Operations, the Cloud Operations Engineer monitors and provides first-response to all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to cloud-wide disturbances. Our workweek spans five days, and that may involve working on weekends.
What You'll Do:
Ensuring maximum uptime for our global infrastructure
Automating processes and building tools to improve operational efficiency
Coordinating operational work across teams to improve the platform with minimal impact
What You'll Add to DigitalOcean:
Solid experience with Linux operating systems or Networking and day to day upkeep
Familiarity with virtualization technologies and troubleshooting virtual machine instances
Familiarity with containerization technologies and troubleshooting containers
Familiarity with IPv4 Networking and troubleshooting (CCNA equivalent)
Basic storage concepts and technologies
Experience with monitoring systems and incident management
Experience scripting in one or more of the following languages: Bash, Python, or Ruby
Experience with configuration management systems
A passion for good documentation and open communication
Proven ability to learn!
*This job is located in Hyderabad, India
JR: 2026-8152
#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
The AI-Native Cloud purpose-built for inference and agentic workloads.
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