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Strong Tier-1 brand, metro location, and a visible backend lead role drive high applicant competition.
Backend and AI skills are transferable across industries, but GenAI and retail context require moderate specialization.
Explicit 7+ years requirement plus many mandatory tech stacks and security/observability demands increase strictness.
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Design and own scalable, production-ready backend architectures integrating GenAI and Large Language Models to enhance retail data services.
Lead technical development, ensure code quality, security, and operational observability, and mentor team members to foster a learning culture.
Drive AI reliability and automation frameworks, including mitigating hallucinations and implementing agentic AI-driven process enhancements.
7+ years software design and development experience, with 5+ years in scalable backend applications.
Proficiency in Java and Python; strong experience with JVM frameworks like Spring Boot or Micronaut.
Experience with microservices architecture, AI/LLM integration, messaging systems (Kafka, RabbitMQ), and cloud platforms (AWS, GCP, Azure).
Skills in containerization (Docker, Kubernetes), CI/CD pipelines, unit/integration testing, and monitoring/observability tools required.
Experienced in leading technical teams developing robust, scalable backend services integrating AI technologies at enterprise scale.
Strong command over JVM-based technologies and AI-driven automation, comfortable with complex system design involving event-driven architectures.
Practices security-first development and promotes operational excellence using monitoring and observability data to drive system improvements.