Senior Backend Engineer: Scalable, High-Performance Systems

Michael Page; United Arab Emirates; On-site; AED 450,000 - 750,000; Full time

Job summary

Michael Page is seeking a Lead Backend Architect to design and build large-scale distributed systems for a technology-led financial services organisation. You will own architecture from design through production, shaping reliable, scalable platforms.

The role emphasizes event-driven patterns, performance tuning, and the adoption of AI-enabled capabilities to meet intensive throughput and availability requirements, in a fast-paced, collaborative environment.

Qualifications

• Extensive backend engineering experience building highly scalable distributed systems in production environments.
• Proven ability to design for high throughput, low latency and strong availability.
• Experience in performance tuning, concurrency, partitioning and consistency models.
• Ability to adopt new technologies and AI-driven capabilities.

Responsibilities

• Architect and build large-scale distributed systems capable of supporting millions of users and tens of thousands of requests per second.
• Design event-driven architectures, partitioning strategies, and scalable data platforms with focus on reliability and fault tolerance.
• Lead performance optimisation across application, infrastructure, storage, networking, and caching layers.
• Own systems end-to-end from architecture and development through production operations and continuous improvement.
• Evaluate and adopt emerging technologies, including AI-driven capabilities, to solve complex engineering and business challenges.

Skills

Distributed systems

System design

Performance engineering

Event-driven architecture

Reliability and fault tolerance

Job description

Michael Page is seeking a Lead Backend Architect to design and build large-scale distributed systems for a technology-led financial services organisation. You will own architecture from design through production, shaping reliable, scalable platforms.

The role emphasizes event-driven patterns, performance tuning, and the adoption of AI-enabled capabilities to meet intensive throughput and availability requirements, in a fast-paced, collaborative environment.