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Tier-1 brand, mid-level generalist role, metro location, and broad skillset increase competition.
Core backend skills transfer well, but LLM/AI and retail domain needs increase specialization.
Explicit 4–7 years plus mandatory JVM, microservices, AI and cloud skills create strict filtering.
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Design and develop scalable, production-ready backend services primarily using JVM technologies such as Java and Kotlin.
Drive integration of Large Language Models (LLMs) and Generative AI features into core applications, ensuring AI reliability and automation.
Own service quality including code standards, monitoring, security, and foster observability and stability improvements using operational data.
4-7 years of experience in software design and development with focus on scalable backend applications.
Proficiency in Java and Python for backend development, AI, and automation workflows.
Experience with microservices architecture, JVM frameworks (Spring Boot or Micronaut), messaging systems (Kafka, RabbitMQ), and databases (NoSQL and SQL).
Experience with CI/CD pipelines, cloud platforms (AWS/GCP/Azure), containerization (Docker, Kubernetes), and monitoring tools (Grafana, ELK, Prometheus).
Experienced in building robust, scalable microservices and integrating AI/LLM capabilities into production systems.
Operates with a security-first mindset, skilled in identifying software vulnerabilities and implementing secure coding practices.
Experienced in event-driven architectures and driving automated process enhancements using AI frameworks and OpenAI technologies.