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Tier-1 brand, mid-level generalist backend role, metro appeal and broad skill requirements increase applicant density.
Core backend engineering skills transfer across industries despite healthcare domain preference.
Explicit 5+ years and mandatory Java/Spring Boot/microservices/Kafka/observability skills enforce strict filters.
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Design, develop, and maintain scalable Java-based microservices and APIs using Spring Boot within a cloud environment.
Integrate and leverage AI/LLM capabilities and AI-assisted development tools to enhance engineering productivity and application features.
Lead and participate in architecture, coding standards, DevSecOps practices, and mentor junior engineers to ensure high-quality solutions and operational reliability.
Minimum 5 years of hands-on Java software development experience.
Minimum 5 years experience building RESTful APIs and Microservices using Spring Boot.
Experience with Agile/Scrum, CI/CD pipelines, DevSecOps practices, event-driven architectures (Kafka), containerization (Docker), and monitoring tools (Grafana, Splunk, Dynatrace, or New Relic).
Work Experience Required: 5+ years relevant experience; Notice Period: Not explicitly mentioned in the JD.
Experienced in AWS cloud services and building cloud-native applications with modern deployment patterns such as Kubernetes and API Gateways.
Familiar with AI technologies including Generative AI, LLMs, AI integration patterns, and AI-assisted engineering tools to drive AI-first transformation.
Strong understanding of distributed systems, object-oriented design principles, and with problem-solving skills proven in complex technical environments.