Software Engineer II - Managed Kubernetes products
DigitalOcean (company site, opens in a new tab)2–4 yrsHyderabadOn-siteDirect career pageEst. 12–22 LPA
Posted on 15 Sept
Reach people at DigitalOcean
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at DigitalOcean you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Develop and maintain control plane and runtime systems for DigitalOcean's managed App Platform and Functions services, focusing on Kubernetes-backed infrastructure and serverless event-driven workloads.
- Implement features, fix bugs, and contribute to APIs, reconciliation loops, and lifecycle workflows to operate multi-tenant cloud applications at scale.
- Participate in on-call rotations, investigate production issues, write runbooks, and collaborate cross-functionally to ensure reliability and operability of platform services.
Minimum Requirements
- 2–4 years of software engineering experience building and shipping production services.
- Proficiency in Go or equivalent typed systems programming language.
- Working knowledge of Kubernetes concepts such as Deployments, Services, Controllers, resource limits, and networking basics.
- Location requirement: Hyderabad, India (Hybrid work model).
Ideal Candidate Profile
- Experienced with distributed systems concepts including replication, latency trade-offs, failure modes, and reconciliation in cloud-native environments.
- Familiar with cloud-native technologies including containers, microservices, SQL databases, and optionally gRPC, with exposure to PaaS or serverless platforms.
- Capable of improving system observability, handling ambiguous production issues, and writing clean, reliable, test-covered code within an established architectural framework.