Member of Technical Staff

We are looking for Member(s) of Technical Staff to join our engineering team and help build scalable systems that power our platform. In this role, you will work closely with product, engineering, and infrastructure teams to design and develop reliable software solutions. The ideal candidate is passionate about building high-quality systems, solving complex problems, and contributing to a collaborative engineering culture.

Responsibilities:

• Backend Development: Design, develop, and maintain backend services using Python and Django.
• Database Optimization: Optimize database interactions with strong DBMS knowledge, ensuring efficient data handling and query performance.
• Technical Leadership: Lead technical initiatives, including architecture decisions and code reviews.
• Architectural Evolution: Evaluate the current Django monolith to drive performance improvements; collaborate with the team on the decision and potential execution of a migration to microservices (additionally exploring Rust or Go) and when business demands scale readiness.
• Feature Delivery: Implement and manage the DSP (Demand Side Platform) API and collaborate on React frontend integrations to deliver seamless user experiences.
• Infrastructure: Deploy and monitor applications on AWS, troubleshooting issues in a production environment.
• On-call: Participate in on-call rotations to address critical bugs and maintain system uptime.

Requirements:

• 4+ years of experience building scaled systems from scratch
• Python Mastery: Proven expertise in Python and Django, with a strong portfolio of hands-on projects; experience with FastAPI or Flask is a plus.
• System Design: Strong background in RDBMS (PostgreSQL/MySQL) and a solid understanding of when to move from monoliths to microservices.
• Polyglot Potential: Must have worked with at least one language other than Python in production. Preferably, hands-on experience in Rust or Go for high-performance service development.
• Problem Solving: Excellent problem-solving abilities, demonstrated through complex algorithmic challenges or real-world applications.
• Education: Bachelor's or master's degree in engineering (preferably computer science).