Senior Software Engineer - Integrations
ChartHopFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates must have demonstrated experience integrating with third-party applications, libraries, and APIs, along with strong knowledge of data structures, algorithms, operating systems, and distributed systems. Experience with using and developing REST APIs, interacting with cloud-based platforms like AWS, Azure, and GCP, and comfort with significant research before coding are required. Experience with authorization and authentication standards such as Oauth2, OpenID Connect, LDAP, and SAML is a plus.
The Senior Software Engineer will develop features integrating Cribl's data stream processing engine with systems like Splunk, Elastic Search, Kafka, AWS S3, Azure Blob Storage, and Google Cloud Storage. Responsibilities include rapidly developing subject matter expertise in diverse technologies, designing, developing, testing, and maintaining robust code, and ensuring product features work as expected through comprehensive automated and integration tests. The role also involves collaborating with cross-functional teams, providing feedback on feature design and code reviews, contributing to a weekly 24/7 support on-call rotation, and evangelizing innovation through community contributions, documentation, and blogs.
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.