Senior Staff Software Engineer, Backend - Platform
CoinbaseFull Time
Senior (5 to 8 years)
Candidates must have demonstrated experience building products that leverage large-scale data sets using Node.js, Typescript, and React. A strong understanding of data structures, algorithms, and distributed systems is essential, along with experience developing and using REST APIs. Familiarity with Agile processes, rapid iterative development, and cloud-based platforms is required, as is a strong sense of ownership focused on high-quality, high-performing deliverables. The ability to learn new technologies and develop prototypes quickly is also valued.
The Sr Staff Software Engineer will provide technical direction for products, projects, and features, focusing on backend systems and APIs for data ingestion, processing, and routing. Responsibilities include contributing to architecture discussions and design reviews, partnering with cross-functional teams to translate specifications into code, and designing, developing, testing, and maintaining robust code. The engineer will also create test plans and automated tests to ensure product functionality, mentor junior engineers, and contribute to internal and external blogs. This role may require on-call duties.
Data observability solutions for tech businesses
Cribl operates in the data observability market, helping tech businesses monitor, analyze, and visualize their data for better operational and security insights. The company offers two main products: Cribl Stream and Cribl Edge. Cribl Stream enables businesses to efficiently route and transform logs and metrics, either on their own infrastructure or through cloud services, ensuring timely data delivery. Cribl Edge focuses on collecting and processing real-time observability data from edge devices, which can then be sent to Cribl Stream or other destinations. Cribl distinguishes itself by integrating seamlessly with platforms like Office 365 and Microsoft Azure, allowing clients to enhance their data management capabilities. The company's goal is to create effective data ecosystems that empower organizations to make sense of their data.