We are seeking an experienced Senior Software Developer to join our Software Engineering team. This role focuses on building enterprise-grade backend solutions using Java Spring technologies while leveraging modern architectural practices, including AI integration, microservices, intelligent search, and cloud-native development.
The ideal candidate is a strong hands-on engineer who enjoys solving complex technical problems, collaborating with cross-functional teams, and contributing to the delivery of scalable, secure, and innovative solutions.
Key Responsibilities
Backend Development
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Design, develop, and maintain scalable Java-based microservices using Spring Boot and Spring Cloud.
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Build and maintain RESTful APIs for internal and external integrations.
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Develop high-performance backend solutions using Oracle and/or MySQL databases.
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Troubleshoot, debug, and optimize application performance, reliability, and scalability.
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Apply software engineering best practices, including design patterns, SOLID principles, and clean architecture.
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Contribute to technical design discussions and solution architecture decisions.
AI & Intelligent Systems
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Integrate AI-powered services such as OpenAI, Hugging Face, and LangChain into enterprise applications.
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Design and implement AI-driven features, including intelligent search, content analysis, and agent-based workflows.
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Develop and enhance Retrieval-Augmented Generation (RAG) solutions.
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Optimize performance, reliability, and scalability of LLM-based applications.
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Develop AI data processing and integration pipelines.
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Apply AI security and compliance best practices during implementation.
Search & Data Technologies
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Design, implement, and maintain enterprise search solutions using Apache Solr and Elasticsearch.
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Develop semantic and vector-based search capabilities.
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Optimize database queries, indexing strategies, and data models for performance and scalability.
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Ensure data integrity, security, and availability across backend systems.
DevOps & Quality
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Contribute to CI/CD pipelines and deployment automation processes.
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Work within Docker and Kubernetes-based environments.
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Develop automated unit and integration tests.
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Participate in code reviews and follow established coding standards.
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Apply secure coding practices and OWASP security recommendations.
Collaboration
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Work closely with Product Management, UX, QA, DevOps, and Engineering teams to deliver high-quality solutions.
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Participate in technical discussions, design reviews, and knowledge-sharing activities.
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Support and mentor junior developers when needed.
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Contribute to continuous improvement initiatives across the development lifecycle.
Required Skills & Qualifications
Experience & Education
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4-6 years of professional experience in Java software development.
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Proven hands-on experience with AI-assisted development tools.
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Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience.