Summary

Responsibilities

1. Analyse current system architecture and identify bottlenecks and areas for improvement.
2. Design and implement scalable solutions to handle high concurrency and large data volumes with high performance.
3. Collaborate with engineering teams to integrate scaling solutions into existing systems.
4. Provide expert guidance on best practices for system scaling and performance optimisation.
5. Conduct performance testing and tuning to ensure system reliability and efficiency.
6.  Mentor and train internal teams on scaling techniques and methodologies.
7. Stay up-to-date with the latest advancements in system scaling and related technologies.

Requirements

1. Talent graduated / studying PHD, Professorial, or Research background or Computer Science, Engineering, or a related field.
2. With publications or research in the field of system scaling, high concurrency, high performance, low latency, or related areas.
3. Experience with 24/7 systems and live upgrades with no side-effects on user impact.
4. Strong understanding of distributed systems, cloud computing, and micro-services architecture.
5. Experience with working on Consultant role, providing relevant advice and solutions to clients.
6. Familiar with low level, bare metal, Kernel level, system and network tuning experience.
7. Familiar with containerization and orchestration tools such as Docker and Kubernetes.

Skills

• Development
• Software Engineering
• Team Collaboration