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Mid-tier brand, metro location, senior role reduces density despite broad full-stack requirements.
Requires large-scale platform and streaming experience, so candidates from similar high-traffic domains fit best.
Explicit 12+ years, leadership, and mandatory full-stack, Kafka, cloud skills make filters strict.
Own end-to-end technical architecture spanning frontend, backend, and infrastructure, ensuring scalability, performance, and cost efficiency.
Lead and mentor a team of 10-20 engineers across multiple projects, driving delivery timelines and quality standards.
Integrate AI-native tooling into the software development lifecycle and technical roadmap, partnering with business teams to align priorities and manage project risks.
12+ years of software engineering experience with strong full-stack expertise including React.js, Node.js, backend services, databases, and cloud infrastructure.
Proven experience leading teams of 10-20 engineers and managing multiple concurrent projects with timely delivery.
Hands-on experience with AI-assisted development tools integrated across the SDLC, and a strategic perspective on AI application within software engineering.
Strong technical knowledge of microservices, event-driven architecture, Apache Kafka, MySQL and NoSQL databases, Cloud (AWS/GCP), containerization (Docker/Kubernetes), and CI/CD pipelines.
Experienced in architecting and delivering large-scale, high-traffic web and backend systems with a focus on performance and scalability.
Demonstrates strong prioritization skills balancing technical trade-offs aligned with business goals and stakeholder communication.
Has a background in driving AI-native engineering practices and mentoring sizable engineering teams in a fast-paced environment.