Backend Engineer

Who We Are

Our client builds technology that helps farmers and agribusinesses around the world work smarter. Their mobile and web applications help monitor field conditions, optimize input usage, and increase yields using satellite imagery and their own AI models.

Our client’s team is distributed across several countries in Europe, and their technology is used across a significant share of the world’s cropland. This year, they became one of the first companies globally to launch an AI Agronomist, a digital assistant that gives farmers personalized, AI-driven recommendations.

Responsibilities:

• Lead and grow a product-focused backend team. Hire, mentor, and develop engineers to help them reach their full potential.
• Shape the technical vision and architecture of the backend systems, ensuring scalability, security, and high availability.
• Drive the delivery of backend features in close collaboration with product managers, designers, and AI/ML engineers.
• Foster a culture of technical excellence and ownership within the team.
• Build products that leverage modern AI models to deliver value to farmers worldwide.
• Improve development processes and team workflows to ensure consistent, timely delivery.
• Act as a hands-on technical leader: design and review solutions, unblock the team, and contribute to critical code when needed.

Requirements:

• 5+ years of backend development experience, with strong Python expertise.
• Experience leading and scaling a product engineering team.
• Strong expertise in Python 3.12+, Django 4+, Django REST Framework, Celery, pytest, Redis, PostgreSQL, Docker, RabbitMQ, and AWS.
• Familiarity with FastAPI and Kubernetes.
• Bonus points for experience with PostGIS, Helm, or ArgoCD.
• A track record of building and shipping scalable SaaS products.
• A solid understanding of Agile methodologies and the ability to align engineering with product goals.
• A passion for mentoring engineers and building healthy, high-performing teams.
• Curiosity and excitement about AI/ML-driven products.
• Proficiency in Ukrainian is a plus.

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