Full Stack Engineer, Backend + Data Engineering

TL;DR: As a fullstack engineer with backend & data engineering focus, your highest priority is to develop and maintain robust, scalable Python-based backend services that are core to our decision intelligence. This includes engineering data pipelines, which right now is a large focus.

You are right for this role if you consider yourself a world-class:

• Builder: You ship code, fast. This also shows in your experience.
• Problem-solver: You are persistent and find new ways to tackle challenges at the frontier of technology also if this means finding the hack that gets you to the goal.
• System-thinker: You know your frameworks & best practices to build a robust, scalable application.

Responsibilities

• 🎨 Build: Design, develop, and deploy robust Python-based backend services using Django. Craft crucial components that power our decision intelligence model, shaping the core of our product's decision-making capabilities.
• 🛣️ Data Processing: Implement robust data processing and storage solutions crucial to out core logic (we are moving a lot of data!)
• 🛠 Performance: Ensure high uptime, seamless service integration, and monitor system health. Optimize frontend-backend synergy.

Qualifications

• Backend Excellence: 5+ years in Python-focused backend development. Expertise in Python web frameworks (Django, Flask, or FastAPI). Proficient in microservices, containerization, and software design principles. Deep knowledge of SQL, NoSQL databases as well as experience building data pipelines.
• DevOps Expertise: Expertise in CI/CD, cloud platforms (preferably Azure), and cutting-edge DevOps practices.
• ML Expertise: Proficiency in ML (Pytorch) is a plus.
• GenAI Expertise: Proficiency with Vector Databases and chaining LLMs is a plus.