Onehouse

Benefits:

• Equity Compensation

• Health & Well-being

• Financial Future

• Location

• Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 11 paid company holidays (17 for India based roles). Note that some roles in India have 17 paid company holidays instead of 11 as for US based roles; see detailed job post to know which applies to given role.) -Company Camaraderie -Food & Meal Allowance -Equipment -Child Bonding!

Experience Requirements:

• 5-7+ years building large-scale data systems.

• Experience with inner workings of distributed (multi-tiered) systems, algorithms, and relational databases.

• Experience with large scale data compute engines / processing frameworks.

• Experience building distributed and/or data storage systems or query engines.

Responsibilities:

• As an engineer on the Open Source team at Onehouse, you'll play a pivotal role in shaping and realizing the vision and roadmap for Apache Hudi, while also shaping the future of data lakehouse space.

• Collaborate across multiple teams within Onehouse, serving as the vital bridge between the open-source Apache Hudi project and Onehouse's managed solution, ensuring seamless collaboration and integration.

• Engage closely with community partners and contributors, serving as a steward of the Apache Hudi project, fostering collaboration and guiding its evolution.

• Champion a culture of innovation, quality and timely execution, enabling the team to deliver on the vision of the next-generation data lakehouse.

• Architect and implement solutions that scale to accommodate the rapid growth of our customer base, open source community and the ever-expanding demands of the datalake ecosystem at large.

Benefits:

• Equity Compensation

• Health & Well-being

• Financial Future

• Location

• Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 11 paid company holidays (17 for India based roles). Note that some roles in India have 17 paid company holidays instead of 11 as for US based roles; see detailed job post to know which applies to given role.) -Company Camaraderie -Food & Meal Allowance -Equipment -Child Bonding!

Experience Requirements:

• Strong, object-oriented design and coding skills (Java and/or C/C++ preferably on a UNIX or Linux platform).

• Experience with inner workings of distributed (multi-tiered) systems, algorithms, and relational databases.

Responsibilities:

• As a foundational member of the Data Infrastructure team, you will productionize the next generation of our data tech stack by building the software and data features that actually process all of the data we ingest.

• Accelerate our open source <> enterprise flywheel by working on the guts of Apache Hudi's transactional engine and optimizing it for diverse Onehouse customer workloads.

• Act as a SME to deepen our teams' expertise on database internals, query engines, storage and/or stream processing.

Benefits:

• Equity Compensation

• Health & Well-being

• Financial Future

• Location

• Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 11 paid company holidays (17 for India based roles). Note that some roles in India have 17 paid company holidays instead of 11 as for US based roles; see detailed job post to know which applies to given role.) -Company Camaraderie -Food & Meal Allowance -Equipment -Child Bonding!

Experience Requirements:

• 12+ years of experience as a backend engineer with experience developing and operating microservices in a distributed environment.

• Experience leading a team of senior engineers

• Experience with Kubernetes, gRPC and Java.

• Experience deploying applications on one or more global cloud platforms (AWS/GCP/Azure).

• Operational excellence in monitoring/deploying/testing microservice architectures.

Responsibilities:

• As a backend engineer at Onehouse, you will get to build highly scalable and extremely reliable platform services, solving deep technical challenges across all of these areas. These distributed systems will be critical to supporting our multi region cloud microservices at scale.