Get paid to work on open-source projects
Apply cutting-edge best practices and architecture to build Instill AI's products. The topics involve Infrastructure as Code (IaC), microservice, serverless, API-first design, Twelve-Factor Apps, zero-trust network, message queue, etc
Design and develop highly scalable, high-quality APIs, services and maintain database systems
Develop data integration standards for unstructured data, build processes and logic to extract, transform and distribute data from a wide variety of sources, and work with ML/AI engineers to integrate ML systems into data pipelines
Work with product managers, frontend engineers, product designers and other engineers to deliver high-quality, complex backend features on the roadmap
Deliver high-quality software and documentation

Significant experience in developing and maintaining large-scale distributed systems, production data pipelines or data platforms, and have shipped data projects before
Experience with GCP, AWS or other major cloud services
Experience in DevOps, Docker, Kubernetes, gRPC and modern data stack
Be fluent in Go and SQL/NoSQL
Basic understanding of machine learning algorithms
Comfortable working in a very fast-paced agile startup environment, experience in robust and frequent releases
Excellent communication and document writing skills
Open-source practices/contributions
Be customer and data obsessed and take ownership of the details
Proactive, self-learning, and self-aware
Intellectual curiosity, always asking "how can we improve?"
A strong desire to build world-class products

Sr Backend Engineer