Software Engineer II - Managed Kubernetes products
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Key skills for this role
Key Skills for This Role
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What You’ll Do
Build & Extend: Implement features and bug fixes across App Platform and Functions services in Go, working within established architectural patterns and contributing to a high-reliability, multi-tenant platform.
Control Plane & APIs: Contribute to gRPC and HTTP APIs, reconciliation loops, and lifecycle workflows that create, update, deploy, and operate customer apps and functions at scale.
Kubernetes Runtime: Work with Kubernetes-backed infrastructure—deployments, networking, autoscaling, and cluster-facing controllers—to improve how workloads are scheduled, isolated, observed, and healed.
Serverless & Scale: Help improve Functions runtime behavior, including cold-start/warm-path performance, isolation, reliability, and operational tooling for event-driven workloads.
Operate What You Build: Participate in on-call rotations, investigate production issues, write runbooks, and develop ownership of the services you contribute to.
Learn & Grow: Partner with senior engineers to deepen your understanding of distributed systems, Kubernetes internals, and PaaS/serverless architecture—building the skills to take on increasing ownership over time.
Collaborate Cross-Functionally: Work with teammates across App Platform, Functions, Edge, Networking, and adjacent product teams to understand how your work fits into the broader cloud platform.
Engineering Excellence: Write unit and integration tests, participate in code reviews, leave code cleaner than you found it, and help raise the bar on reliability and operability.
What You’ll Add to DigitalOcean
Experience: 2–4 years of software engineering experience, with a strong foundation in building and shipping production services.
Language Proficiency: Proficiency in Go, or a strong background in another typed systems language with demonstrated ability to ramp quickly.
Kubernetes Familiarity: Working knowledge of Kubernetes concepts (Deployments, Services, Controllers/Operators, resource limits, networking basics); hands-on experience deploying or operating workloads on Kubernetes is a plus.
Systems Thinking: Understanding of how distributed systems work—replication, latency trade-offs, failure modes, reconciliation—and curiosity to go deeper.
Cloud Native: Exposure to containerized environments, microservices, and SQL databases (MySQL/Postgres); experience with gRPC is a plus.
Problem Solver: Comfort working through ambiguous bugs and production issues, and a habit of leaving systems more observable and operable than you found them.
Communication: Ability to clearly document your work, ask good questions, and collaborate effectively with teammates and stakeholders.
Nice to Have
Experience with PaaS, serverless platforms, or multi-tenant control planes.
Familiarity with service meshes, CNI networking, autoscaling, or scale-to-zero patterns.
Exposure to event-driven systems, webhooks, or function/runtime isolation (containers, gVisor, or microVMs).
Experience with Terraform, CI/CD pipelines, or Prometheus-based observability.
Prior on-call experience for production services.
This job is located in Hyderabad, India
JR: 2026-8134
#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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