What you'll be doing

• 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

Things we'd love to see

• 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