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# Backend Engineer- Kubernetes Infrastructure (India)

- **Company:** ONEHOUSE INCORPORATED
- **Location:** Menlo Park, CA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Computer-Aided Design, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Computing, Cloud Engineering, Code Review, Computer Programming, Data Infrastructure, Software Debugging, Distributed Systems, Open Source Technology, Apache Spark, Backend, Containerization, Kubernetes, Front End Software Development
- **Published:** September 26, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pmw0vvrs62

## About the Role

* 5+ years of experience building backend or infrastructure software.
 * Strong programming skills in Go (preferred) or Java
 * Experience developing Kubernetes Operators using controller-runtime.
 * Hands-on experience with:

Kubernetes Controllers

Custom Resource Definitions (CRDs)

reconciliation loops

Operator pattern

 * Strong understanding of Kubernetes APIs and Kubernetes architecture.
 * Experience building distributed systems or cloud-native backend services.
 * Experience debugging production systems running on Kubernetes.
 * Familiarity with one or more cloud platforms (AWS, GCP, or Azure).
 * Strong software engineering fundamentals including testing, debugging, code reviews, and system design.

Nice to Have

 * Built production Kubernetes Operators.
 * Contributed to Kubernetes ecosystem projects.
 * Designed software for large-scale cloud platforms
 * Experience building control planes for distributed systems
 * Passion for open source and cloud-native technologies.

## Description

* Design and develop Kubernetes Operators and Controllers using Go and controller-runtime.
 * Build Kubernetes-native automation for provisioning, upgrading, scaling, and managing distributed systems.
 * Develop Custom Resource Definitions (CRDs) and reconciliation logic to automate platform lifecycle management.
 * Build backend services that integrate with Kubernetes APIs and cloud infrastructure.
 * Improve the reliability, scalability, and observability of infrastructure software running on Kubernetes.
 * Collaborate with backend, data platform, and frontend engineers to deliver platform capabilities.
 * Design software that powers Spark and AI workloads on Kubernetes.
 * Participate in architecture discussions and contribute to long-term platform design.
 * Debug complex distributed systems running in Kubernetes production environments.
 * Maintain high engineering standards through code reviews, automated testing, and observability.


## Related Videos

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- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
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- [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data)
- [Building a Cloud Platform Where Everything is Just Another Kubernetes Resource](https://www.wearedevelopers.com/videos/100137-building-a-cloud-platform-where-everything-is-just-another-kubernetes-resource)
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