Job Overview 

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 

• Design, develop, and maintain scalable Java-based microservices using Spring Boot and Spring Cloud. 

• Build and maintain RESTful APIs for internal and external integrations. 

• Develop high-performance backend solutions using Oracle and/or MySQL databases. 

• Troubleshoot, debug, and optimize application performance, reliability, and scalability. 

• Apply software engineering best practices, including design patterns, SOLID principles, and clean architecture. 

• Contribute to technical design discussions and solution architecture decisions. 

AI & Intelligent Systems 

• Integrate AI-powered services such as OpenAI, Hugging Face, and LangChain into enterprise applications. 

• Design and implement AI-driven features, including intelligent search, content analysis, and agent-based workflows. 

• Develop and enhance Retrieval-Augmented Generation (RAG) solutions. 

• Optimize performance, reliability, and scalability of LLM-based applications. 

• Develop AI data processing and integration pipelines. 

• Apply AI security and compliance best practices during implementation. 

Search & Data Technologies 

• Design, implement, and maintain enterprise search solutions using Apache Solr and Elasticsearch. 

• Develop semantic and vector-based search capabilities. 

• Optimize database queries, indexing strategies, and data models for performance and scalability. 

• Ensure data integrity, security, and availability across backend systems. 

DevOps & Quality 

• Contribute to CI/CD pipelines and deployment automation processes. 

• Work within Docker and Kubernetes-based environments. 

• Develop automated unit and integration tests. 

• Participate in code reviews and follow established coding standards. 

• Apply secure coding practices and OWASP security recommendations. 

Collaboration 

• Work closely with Product Management, UX, QA, DevOps, and Engineering teams to deliver high-quality solutions. 

• Participate in technical discussions, design reviews, and knowledge-sharing activities. 

• Support and mentor junior developers when needed. 

• Contribute to continuous improvement initiatives across the development lifecycle. 

Required Skills & Qualifications 

Experience & Education 

• 4-6 years of professional experience in Java software development. 

• Proven hands-on experience with AI-assisted development tools. 

• Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience. 

Technical Skills 

Backend Development 

• Java 17+ 

• Spring Boot 

• Spring Data 

• Spring Cloud 

• REST APIs 

• JPA 

Software Design 

• Object-Oriented Programming (OOP) 

• Clean Architecture 

Database Technologies 

• Oracle Database (PL/SQL, Stored Procedures, Performance Tuning) 

• SQL Optimization 

• Schema Normalization 

Search Technologies (Nice to have) 

• Apache Solr  

• Elasticsearch 

• Semantic Search 

• Vector Search Solutions 

AI & Machine Learning Integration (A plus) 

• Hugging Face 

• LangChain 

• Vector Databases 

• Semantic Search Technologies 

DevOps & Deployment 

• Jenkins 

• Docker 

• Kubernetes 

Unit Testing & Quality 

• Test-Driven Development (TDD) 

• Behavior-Driven Development (BDD) 

• SonarQube 

• Clean Code Standards 

Development Practices 

• Git 

• Jira 

• Agile / Scrum Methodologies 

• Configuration and Build Management 

Security 

• Secure Coding Practices 

• OWASP Top 10 

• Authentication and Authorization 

• API Gateway Security 

• JWT 

• OAuth 

AI Competencies 

• Strong proficiency in AI-assisted development tools and workflows. 

• Experience with prompt engineering and effective utilization of LLM-based solutions. 

• Understanding application architectures leveraging LLM APIs. 

• Familiarity with Python development. 

• Familiarity with Retrieval-Augmented Generation (RAG) in enterprise environments. 

• Understanding AI-aware software architecture and development principles. 

• Awareness of AI security, governance, and compliance considerations. 

Soft Skills 

• Strong problem-solving and analytical thinking skills. 

• Effective communication and collaboration abilities. 

• Ability to work closely with both technical and business stakeholders. 

• Proactive mindset with a passion for continuous learning and improvement. 

• Strong sense of ownership and accountability for deliverables. 

• Adaptability to evolving technologies, especially AI-driven solutions and modern software architectures.