Onehouse

Benefits:

• Equity Compensation

• Health & Well-being

• Financial Future

• Location

• Generous Time Off

Experience Requirements:

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

• 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.

• Great problem-solving skills, a keen eye for details

Responsibilities:

• Collaborate with the team to implement new APIs, database/caching abstractions and services, to support user-facing products, external partner integrations or infrastructure tooling/monitoring systems.

• Exhibit full ownership of product features, including design and implementation, from concept to completion.

• Be passionate about designing for future scale and high availability, while possessing a deep understanding of common failure patterns and their remediations.

• Uphold a high engineering bar around the code, monitoring, operations, automated testing, release management of the platform

Benefits:

• Equity Compensation

• Health & Well-being

• Financial Future

• Location

• Generous Time Off

Experience Requirements:

• 3+ years of experience in building and operating data pipelines in Apache Spark.

• 2+ years of experience with workflow orchestration tools like Apache Airflow, Dagster.

• Proficient in Java, Maven, Gradle and other build and packaging tools.

• Adept at writing efficient SQL queries and trouble shooting query plans.

• Experience managing large-scale data on cloud storage.

Responsibilities:

• Be the thought leader around all things data engineering within the company - schemas, frameworks, data models.

• Implement new sources and connectors to seamlessly ingest data streams.

• Building scalable job management on Kubernetes to ingest, store, manage and optimize petabytes of data on cloud storage.

• Optimize Spark applications to flexibly run in batch or streaming modes based on user needs, optimize latency vs throughput.

• Tune clusters for resource efficiency and reliability, to keep costs low, while still meeting SLAs

Benefits:

• Competitive Compensation

• Equity Compensation

• Health & Well-being

• Financial Future

• Location

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.

• You embrace ambiguous/undefined problems with an ability to think abstractly and articulate technical challenges and solutions.

• An ability to prioritize across feature development and tech debt with urgency and speed.

• An ability to solve complex programming/optimization problems

Responsibilities:

• Design new concurrency control and transactional capabilities that maximize throughput for competing writers.

• Design and implement new indexing schemes, specifically optimized for incremental data processing and analytical query performance.

• Design systems that help scale and streamline metadata and data access from different query/compute engines.

• Solve hard optimization problems to improve the efficiency (increase performance and lower cost) of distributed data processing algorithms over a Kubernetes cluster.

• Leverage data from existing systems to find inefficiencies, and quickly build and validate prototypes.