Lead Python Backend Architect for AI Automation

oryxsearch.io; Dubai; On-site; AED 350,000 - 600,000; Full time

Job summary

oryxsearch.io is seeking a Lead Backend Engineer to own major areas of the platform and scale the technology and engineering team. This hands-on leadership role combines ~70% engineering with ~30% architecture oversight.

You will design scalable backend systems, build Python microservices, and lead a cross-functional team across Product, Frontend, ML and DevOps to push the platform forward.

Qualifications

• 8-10+ years of software engineering experience.
• Deep expertise in Python and backend development.
• Strong experience with distributed systems and microservices architecture.
• Experience designing event-driven and high-throughput systems.
• Strong understanding of API design and data modelling.

Responsibilities

• Design and build scalable, distributed backend systems.
• Develop high-performance Python microservices and APIs.
• Architect event-driven and asynchronous systems.
• Build real-time streaming and messaging infrastructure.
• Own technical decisions around APIs, data models and service architecture.
• Design and optimise high-throughput SQL and NoSQL databases.
• Improve platform reliability, performance and observability.
• Drive engineering standards across testing, code quality and architecture.
• Lead code reviews and contribute production-grade code.
• Work closely with Product, Frontend, ML and DevOps teams.
• Mentor and technically lead a small cross-functional engineering team.
• Help shape engineering practices as the organisation scales.

Skills

Python

Backend development

Distributed systems

Microservices

APIs

Tools

SQL

NoSQL

Streaming

Messaging

Job description

oryxsearch.io is seeking a Lead Backend Engineer to own major areas of the platform and scale the technology and engineering team. This hands-on leadership role combines ~70% engineering with ~30% architecture oversight.

You will design scalable backend systems, build Python microservices, and lead a cross-functional team across Product, Frontend, ML and DevOps to push the platform forward.