About the role
Responsibilities:
- Lead design and build of major platform subsystems: orchestration, AI-driven processing layers, intelligent routing, multi-tenant controls.
- Set technical direction across teams for extreme scale, reliability, cost efficiency, and AI capabilities.
- Own architectural decisions, trade-offs, and long-term quality of critical high-volume components.
- Mentor senior engineers: in-depth reviews, coaching on distributed systems excellence.
- Champion optimisations like smart volume reduction and AI-automated handling.
- Partner with product and leadership on roadmap alignment (e. g., faster insights, broader coverage).
- Prototype bold ideas for next-level automation and efficiency.
Requirements:
- Bachelor's/Master's in Computer Science or equivalent.
- 8-12+ years scaling large distributed SaaS or data platforms.
- Expert-level Golang experience at massive production scale.
- Mastery of event-driven systems (Kafka), microservices, cloud-native architecture, security patterns, and big data approaches.
- Proven cross-team impact: reliability at scale, meaningful cost reductions, governance.
- Strong mentoring of seniors and ability to influence technical strategy.
- Strategic mindset for AI-powered data platforms and enterprise challenges.