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Broad architecture requirements plus metro-office context increase competition, while seniority narrows the candidate pool.
Requires high-scale consumer platform, streaming, and AI-native experience, so background fit is highly specific.
Explicit 12+ years, team leadership, and mandatory tech stack (Kafka, cloud, AI-native) create high shortlisting strictness.
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Own and define end-to-end technical architecture spanning frontend, backend, and infrastructure ensuring scalability, performance, and cost-effectiveness.
Lead and manage a team of 10-20 engineers across multiple parallel projects, ensuring on-time delivery and quality standards.
Drive AI-native engineering practices by integrating AI tools into software development lifecycle and product enhancements.
12+ years of software engineering experience with strong full-stack expertise (web frameworks, backend services, databases, cloud).
Proven experience architecting and delivering large-scale, high-traffic systems.
Demonstrated leadership of 10-20 engineers managing multiple projects without missing deadlines.
Hands-on experience with backend languages (Java / Node.js / Python / Go), frontend JS frameworks (React / Angular / Vue), cloud platforms (AWS / GCP), microservices, Kafka, relational and NoSQL databases, and AI-assisted development tooling.
An experienced senior architect comfortable making trade-offs aligning technical roadmap with business priorities.
Able to manage technical debt, system reliability, security, and observability in a high-traffic consumer platform environment.
Has a clear strategic vision for integrating AI tooling into both engineering processes and product features and can mentor teams accordingly.