Full-Stack TypeScript Engineer
WanderFull Time
Mid-level (3 to 4 years)
Candidates must be able to write clean, maintainable, and testable full stack code (Node.js/TypeScript), possess experience in complex development environments, especially in large-scale highly available distributed systems and SaaS platforms, and have experience developing resilient and scalable backend services on any major cloud provider, preferably AWS. Strong knowledge of data structures, algorithms, Linux, and distributed systems is required, along with experience using assertion frameworks and tools like Mocha, Cypress, Jest to automate regression checks. Candidates should be self-starters, require minimal supervision, and demonstrate a track record of quickly learning new technologies.
As a Senior Staff Software Engineer, the individual will help define and refine software development practices, write clean and testable code with an eye towards observability and resilience, coach and empower less senior engineers, work with cross-functional teams to define product vision and scope, plan and forecast quarterly goals, champion the entire software development lifecycle, take on new adventures across the full-stack, and share on-call responsibilities while embracing a model of service ownership.
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.