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Overview
We are looking for a skilled and proactive Senior Java Developer to design, develop, and maintain high-quality, scalable applications. This role requires strong hands-on expertise in Java development, experience in Azure Cloud environments, and the ability to provide technical guidance and mentorship to a small team. Exposure to AI-driven solutions is highly valued.
Key Responsibilities
Design, develop, and maintain scalable and high-performance Java applications
Build and enhance microservices architectures using Spring Boot and related frameworks
Integrate AI/ML and Generative AI capabilities (e.g., OpenAI, Azure AI services, LLM APIs) into applications
Develop intelligent features such as chatbots, recommendation engines, or automation workflows
Deploy and manage applications within Azure Cloud environments
Provide technical guidance, mentorship, and support to junior developers or small teams
Participate in code reviews and enforce best practices in coding, security, and performance
Collaborate with cross-functional teams (Product, QA, DevOps) to deliver end-to end solutions
Troubleshoot, debug, and optimize applications and AI integrations
Contribute to CI/CD pipelines and DevOps processes
Stay updated on emerging trends in AI, cloud computing, and backend engineering
Required Qualifications
Bachelor's degree in Computer Science, Engineering, or related field
5+ years of experience in Java development
Strong expertise in Java, Spring Boot, and Microservices architecture
Hands-on experience with Microsoft Azure (e.g., App Services, Azure Functions, AKS, Azure
DevOps)
Practical experience integrating AI/ML solutions (e.g., REST-based AI APIs, LLMs, or Azure AI services)
Experience building and consuming RESTful APIs
Proven experience mentoring or managing a small team or leading modules/projects
Solid understanding of distributed systems and cloud-native architectures
Experience with relational and/or NoSQL databases
Familiarity with Git and version control systems
Preferred Qualifications
Experience with Generative AI use cases (e.g., chatbots, summarization, RAG pipelines)
Familiarity with AI/ML frameworks or tools (e.g., TensorFlow, PyTorch, or LangChain)
Experience with vector databases or semantic search technologies
Experience with containerization (Docker, Kubernetes)
Familiarity with messaging systems (Kafka, RabbitMQ)
Experience with CI/CD tools (Azure DevOps, Jenkins, GitHub Actions)
Experience working in Agile/Scrum environments
Azure certifications are a plus
Key Competencies
Strong problem-solving and analytical mindset
Ability to combine backend engineering with AI-driven solutioning
Effective communication and collaboration skills
Ability to balance hands-on development with mentoring responsibilities
Continuous learning mindset, especially in AI and cloud technologies
