Senior Software Developer
Position:
Senior Software DeveloperJob Description:
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.