OverviewWe 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 ResponsibilitiesDesign, 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 QualificationsBachelor'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 QualificationsExperience 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 plusKey CompetenciesStrong 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 technologiesAdditional Details:Shift Schedule: 5PM - 2AM (PH Time)Work Setup: Fully Remote
