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Onehouse

Fully managed data lakehouse service platform

Backend Engineer Kubernetes Infrastructure

Backend EngineeringConfirmed live in the last 24 hours
Full-timeRemote in IndiaNo salary listed

About the Job

Requirements

  • At least 5 years of experience building backend or infrastructure software.
  • Strong programming skills in Go or Java; Go is preferred.
  • Experience developing Kubernetes Operators using controller-runtime.
  • Hands-on experience with Kubernetes Controllers, Custom Resource Definitions (CRDs), reconciliation loops, and the 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.

Responsibilities

  • 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.

Desired Qualifications

  • 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.

About the Company

Onehouse

Fully managed data lakehouse service platform

Onehouse provides a fully managed data lakehouse on open storage that supports multiple table formats like Apache Hudi, Iceberg, and Delta Lake. It works by letting customers specify the data to organize and optimize, while the service automatically handles data management tasks such as clustering, compaction, masking, encryption, and change data capture, deployable in minutes. It differentiates itself with open-storage lakehouse principles, format flexibility, automated optimization, security features, and a pay-as-you-go model that lowers data-management costs. The goal is to make data management simpler and cheaper while enabling fast access for BI, real-time analytics, and AI/ML workloads.

Company size
51-200
Company stage
Series B
Total funding
$68M
Headquarters
Sunnyvale, CA
Founded
2021

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