Backend Developer, Obviously AI

• We are looking for a talented and passionate Backend Engineer to join our initial Core team
• Proven experience of 2-6 years as a Backend Engineer with hands-on experience in Python frameworks such as Django, Flask, or FastAPI preferred but not mandatory. If you think you are exceptional in other languages and frameworks please apply
• Local to production: Have complete hands-on understanding of how the code is shipped from local to production environments right from code commit, to CI/CD pipelines, to docker, to auto-scalable groups to multi-cluster environments. We are on GCP and deploy things via Kubernetes. You build, you deploy, you manage!
• End to End product engineering: Own, design, implement and maintain business impacting features end to end
• Growth Mindset: You will often need to learn new technologies / stack / frameworks and execute on the job like everyone else
• Clean Code: Code the machine, code for humans! Write simple elegant code which is easy to understand

Desirable

• In this role, you will have the unique opportunity to shape the core infrastructure and backend services of our cutting-edge AI platform
• You will work closely with our product, engineering, and data science teams to create scalable, reliable, and high-performance backend systems that enhance our product's functionality and overall user experience
• Build and Maintain: Design, develop, and maintain robust backend services and APIs using Python frameworks like Django, Flask, or FastAPI
• Schema Migrations: Expertise in schema management using Alembic for SQLAlchemy
• ORM Framework: Skilled in defining and interacting with models using SQLAlchemy or similar ORMs
• Cloud Expertise and Containerization: Utilize GCP to deploy, manage, and scale backend services, ensuring high availability and performance. Have hands on experience with Docker and Kubernetes
• Data Handling: Work on ETL, reverse ETL, data warehousing, and metadata handling, leveraging your knowledge of the modern data stack
• Performance Optimization: Monitor, analyze, and improve the performance, reliability, and scalability of backend systems
• Scalable and Secure System design: Design systems for scale and Implement and maintain security best practices to protect data and backend systems from vulnerabilities and threats
• Collaboration and Communication: Collaborate with cross-functional teams to understand requirements and translate them into technical solutions
• Continuous Learning: Stay up-to-date with industry trends, emerging technologies, and best practices to continuously improve our backend systems