Take ownership of the current backend architecture (Python distributed monolith + services)
Design and operate backend services that integrate with LLMs and bespoke ML systems
Evolve the system to handle high load, burst traffic, and partner-driven scale
Write production code on critical backend paths on a weekly basis
Deliver both product features and technical improvements from early on
Design and optimize systems for performance, throughput, and resilience
Own and improve APIs between backend services, mobile applications and AI components
Raise the bar on logging, metrics, tracing, alerting, and operational visibility

Strong backend engineering experience with Python (Django and/or FastAPI)
Proven experience scaling backend systems for performance, reliability, and high load
Deep experience with relational databases (PostgreSQL preferred)
Hands-on experience with message-based systems (e.g. RabbitMQ or similar)
Experience running backend systems on cloud infrastructure (AWS or equivalent)
Strong understanding of API design for backend ↔ mobile client interactions
A clear delivery mindset: you ship, iterate, and take responsibility for outcomes
Fluent English

Excellent work environment: the company is small enough to be person-oriented
Be part of the fastest-growing fitness and lifestyle startup
AI and LLMs are not only a core to our product but also is how we build software day to day
Growth at Zing comes from taking on larger technical problems, deeper ownership, and broader influence
Engineers directly impact on product and architecture decisions

Backend Tech Lead

Key skills