Senior DNS Engineer
Key Skills for This Role
Full Job Posting
What You’ll Do:
Work as a member of the team on the implementation, testing and optimization of new services and tools that run at scale and solve performance and monitoring problems.
Work with other teams within Networking to build the next generation of products and services for our developers community.
Support existing products and contribute creative solutions to the pain points.
Help improve our toolings and process to ship robust and mission-critical parts of the ecosystem.
Help establish best practices for development and architecture and ways to achieve them
Use technologies and tools such as: Go, Consul, Kafka, SQL, Chef, Git, Jira, gRPC, Prometheus, Grafana, Lightstep, Docker, DNS, and Kubernetes
What You'll Add to DigitalOcean:
Experience designing and developing full-stack applications with databases and API
Experience with leading work across multiple teams to build API contracts
Experience deploying and operating Linux (Ubuntu) based virtual and bare metal hosts.
Experience with Go programming language and unit tests
Some experience designing and developing high performance systems
Some domain knowledge of DNS and Networking stack or a strong willingness to learn
Experience with cloud development, containerization and virtualization
Experience with Continuous Integration and Delivery (CI/CD)
Bonus: You have used gRPC to build robust distributed and high-demand systems
Bonus: Working knowledge of Temporal and Kafka
B.S/M.S in Computer Science or relevant and equivalent experience.
Compensation Range:
- $139,200 - $174,000
- *This is a remote role
- JR: 2026-8222
- #LI-Remote
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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