O

Onehouse

Fully managed data lakehouse service platform

Backend Engineer - Distributed Systems

Full-Time
No salary listed
Mid
Remote in India
Remote
Software EngineeringBackend Engineering

About the job

Requirements
  • At least 3 years of experience as a backend engineer developing and operating microservices in a distributed environment.
  • Experience with Kubernetes, gRPC, and Java.
  • Experience deploying applications on one or more global cloud platforms, such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure.
  • Operational excellence in monitoring, deploying, and testing microservice architectures.
  • Ability to make quick decisions, work independently, and balance feature development with technical debt.
  • Clear communication skills.
Responsibilities
  • Build highly scalable and reliable platform services that support multi-region cloud microservices at scale.
  • Collaborate with the team to implement new application programming interfaces, database and caching abstractions, and services for user-facing products, external partner integrations, and infrastructure tooling and monitoring systems.
  • Own product features through design and implementation from concept to completion.
  • Design for future scale and high availability, and understand common failure patterns and their remediations.
  • Maintain high engineering standards for code, monitoring, operations, automated testing, and platform release management.
Desired Qualifications
  • Experience with Go.
  • Experience with Firebase or an equivalent database.
  • Experience working on a software-as-a-service product.

About the company

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

Sunnyvale, California

Founded

2021

Get referred to Onehouse

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • Onehouse claims 2024 revenue quadrupled and customer count doubled.
  • Azure launch in March 2026 expands distribution inside Microsoft-heavy enterprises.
  • OCR promises 30x faster queries and 80% lower cloud bills for buyers.

What critics are saying

  • Databricks and Snowflake own customer workflows, squeezing Onehouse into a compatibility layer.
  • Open standards erase differentiation fast if Iceberg-native engines close performance gaps by 2026.
  • A failed platform unification strategy would strand Onehouse between infrastructure vendors and open-source communities.

What makes Onehouse unique

  • Apache Hudi lineage gives Onehouse deep open-table-format credibility.
  • Onehouse Compute Runtime spans Hudi, Iceberg, Delta, Snowflake, Databricks, and Azure.
  • OneSync unifies catalogs and permissions across OneLake, Lake Formation, Unity Catalog, and Horizon.

Help us improve and share your feedback! Did you find this helpful?

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

-4%

1 year growth

0%

2 year growth

5%
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.