Full-Time

Backend Engineer - Kubernetes Infrastructure

Onehouse

Onehouse

51-200 employees

Fully managed data lakehouse service platform

No salary listed

Bengaluru, Karnataka, India

Hybrid

Hybrid role; some in-person requirements may apply depending on business needs.

Category
DevOps & Infrastructure
Software Engineering (1)
Required Skills
Kubernetes
Microsoft Azure
Apache Spark
Java
AWS
Go
Google Cloud Platform

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Requirements
  • 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
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

Onehouse provides a fully managed data lakehouse service that runs on open storage and supports table formats like Apache Hudi, Apache Iceberg, and Delta Lake. It continuously ingests and optimizes data with automated tasks such as clustering, compaction, masking, and encryption, plus easy change data capture for up-to-date data. Pricing is usage-based, claiming data-management cost reductions of 50% or more versus traditional cloud warehouses and ETL tools; deployment is quick with minimal engineering. The goal is to simplify and reduce costs 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

San Francisco, California

Founded

2021

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Simplify Jobs

Simplify's Take

What believers are saying

  • July 2026 resources highlight OCR, Open Engines, and vector embeddings as active products.
  • Microsoft and Google supporting OneTable expands credibility for interoperability and future distribution.
  • OCR promises 2x-30x faster queries and 20%-80% lower infrastructure bills for buyers.

What critics are saying

  • Databricks, Snowflake, and BigQuery compress Onehouse's runtime advantage by 2027.
  • Open formats commoditize quickly; customers keep compute in incumbent clouds and avoid switching.
  • Only $68M total funding limits runway against heavier rivals; failure to scale revenue kills independence.

What makes Onehouse unique

  • Onehouse owns Apache Hudi roots and sells open lakehouse interoperability across formats.
  • OCR optimizes Spark, Hudi, Iceberg, and Delta Lake from one managed layer.
  • Open Engines and OneTable reduce vendor lock-in across query engines and catalogs.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Company Equity

Unlimited Paid Time Off

Paid Sick Leave

Paid Holidays

Remote Work Options

Meal Benefits

Parental Leave

Growth & Insights and Company News

Headcount

6 month growth

-5%

1 year growth

-2%

2 year growth

2%
Newswire
Jan 17th, 2025
Onehouse Announces Compute Runtime To Accelerate Workloads Across All Leading Cloud Query Engines

Advanced runtime optimizations - delivered centrally on top of open formats - accelerate queries 2x to 30x and slash customer cloud infrastructure bills 20 to 80 percent

VentureBeat
Jan 16th, 2025
Apache Hudi Creator Onehouse Debuts Specialized Runtime Promising 30X Faster Data Lakehouse Queries

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. As organizations store increasing volumes of information in data lakehouses, queries can potentially become slower and more costly.That is a challenge that Onehouse is looking to help solve. The data lakehouse technology vendor is a leading contributor to the open source Apache Hudi and Apache XTable data lake table formats. Today, the company is advancing its vision of a universal data lakehouse with its new Onehouse Compute Runtime (OCR), which offers the promise of queries that are accelerated up to 30X. That speed can potentially lead to dramatic cost savings of up to 80%, according to Onehouse.There are multiple open data lake table formats in use today, including Apache Hudi, Apache Iceberg and Delta Lake

Newswire
Aug 22nd, 2024
Onehouse Launches Vector Embeddings Generator for Managing Vectors at Scale on the Data Lakehouse

Onehouse is launching a vector embeddings generator to automate embeddings pipelines as a part of its managed ELT cloud service.

VentureBeat
Jun 26th, 2024
Onehouse secures $35M to advance open data lakehouse technology

Onehouse is continuing to build out open source Apache Hudi data lake technology, data lake table format interoperability with Apache XTable, alongside the company’s own Universal Data Lakehouse.

SiliconANGLE Media
Jun 26th, 2024
Onehouse Raises $35M, Launches New Products

Managed data lakehouse company Onehouse Inc. raised $35 million in a Series B funding round, bringing its total funding to $68 million. The company also launched two new products to enhance lakehouse performance and reduce cloud costs. Onehouse, which supports Apache Hudi, Apache Iceberg, and Delta Lake, focuses on openness and interoperability. CEO Vinoth Chandar highlighted the platform's ability to optimize data across Snowflake and Databricks, emphasizing its open and interoperable framework.