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Description supplied by the original job listing.
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.
Experience
8-12 yrs
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