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Mid-level generalist backend role at a known product company in metro markets increases applicant competition.
Core backend Java skills are broadly transferable across industries.
Explicit 3–5 years and mandatory Java/Spring/Kafka/database skills make filters strict.
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Design, develop, and maintain scalable backend services and APIs using Java/J2EE and Springboot.
Own end-to-end delivery of features including design, deployment, and monitoring with a focus on performance, scalability, and reliability.
Integrate AI technologies such as generative AI, LLMs, and Retrieval-Augmented Generation (RAG) workflows into backend services.
3–5 years of backend development experience.
Strong expertise in Java/J2EE, Springboot, Kafka, and React.
Proficient in database technologies including MySQL/PostgreSQL and NoSQL databases with strong SQL query writing and optimization skills.
Experience with RESTful Web Services and multithreading, memory management, and system design fundamentals.
Experienced in building high-performance distributed systems using modern Java frameworks and cloud-native technologies (Docker, Kubernetes, CI/CD).
Familiar with AI-powered development tools and basic AI/ML concepts such as prompt engineering and token optimization.
Comfortable working on integrating AI-driven APIs and managing complex orchestration layers in backend services.