Staff Integration Engineer
ChainalysisFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Key responsibilities include developing and maintaining integrations/connectors with data ecosystem tools like ORM frameworks, Spark, Presto, and Kafka; ensuring compatibility with client-side APIs, drivers, and ORMs; staying updated with the AI ecosystem; evaluating integration gaps; collaborating with product and engineering teams; partnering with external developers; and owning end-to-end quality of integrations.
This information is not specified in the job description.
This information is not specified in the job description.
You will work across internal product, engineering, documentation, and partner teams, as well as with partner teams, community, and external developers to build and strengthen the ecosystem around YugabyteDB.
Strong candidates should have experience developing integrations and connectors with data tools like Spark, Kafka, ORMs, and client drivers (JDBC, Python, Go, etc.), knowledge of the AI ecosystem including LLMs and frameworks like LangChain, and the ability to collaborate across teams while owning end-to-end quality.
Distributed SQL database for cloud applications
Yugabyte offers a distributed SQL database called YugabyteDB, designed for large-scale applications that require high availability and resilience. The database allows businesses to manage vast amounts of data across multiple locations, ensuring accessibility and security. Unlike competitors, Yugabyte combines an open-source version with commercial offerings, providing flexibility and enterprise-grade support. The company's goal is to deliver reliable database solutions for data-intensive industries such as finance, e-commerce, and healthcare.