Software Engineer (Zara)

Job Title: Software Engineer (Zara)

Job Type: Full-time

The Role

This is a high-ownership fullstack role where you’ll contribute to — and grow into owning — core product surfaces end-to-end. You’ll primarily work on building and improving Zara, our AI Recruiter agent, shaping how it operates, scales, and delivers value to users.

What You’ll Own

• Contribute to the design and development of end-to-end fullstack systems powering core product workflows.
• Build clean, scalable backend services and APIs with clear contracts and ownership.
• Develop high-quality, performant frontend interfaces that ship directly to users.
• Participate in data modeling and database performance optimization (schema design, query tuning, maintainability).
• Collaborate closely with product and design to translate ambiguous requirements into shipped systems.
• Uphold engineering quality through code reviews, testing, and continuous improvement.
• Help debug and resolve production issues; contribute to improving reliability and observability.
• Learn to make pragmatic tradeoffs between speed and correctness in a fast-moving AI lab environment.

Preferred Background

• Experience building or contributing to production fullstack systems (internships, projects, or professional experience).
• Strong TypeScript fundamentals across frontend and/or backend.
• Familiarity with backend development using Node.js (NestJS is a plus).
• Experience building user interfaces with React or similar frameworks.
• Understanding of relational databases such as PostgreSQL and basic data modeling principles.
• Familiarity with RESTful APIs and how systems communicate at scale.
• Exposure to cloud platforms like AWS (or similar).
• Awareness of modern architectures (microservices, serverless, or event-driven systems).
• Curiosity, ownership mindset, and strong attention to detail.

Nice to Have

• Experience with CI/CD, infrastructure as code, or DevOps workflows.
• Experience building or contributing to production-grade systems.
• Exposure to AI-adjacent, data-heavy, or ML-powered products.
• Experience working in fast-paced, ambiguous environments (startup, lab, or similar).

Regional Hiring Notes