Overview
We are seeking an experienced and highly motivated Lead Java Developer to drive the design, development, and delivery of scalable, cloud-native applications. This role combines deep technical expertise in Java development with leadership responsibilities, including mentoring teams, driving architectural decisions, and integrating AI-driven solutions within modern cloud environments.
Key Responsibilities
- Lead the end-to-end design, development, and deployment of enterprise-grade Java applications
- Architect and implement scalable, secure, and high-performing solutions preferably on Azure Cloud
- Drive the integration of AI/ML capabilities (e.g., APIs, models, automation) into business applications
- Collaborate with cross-functional stakeholders to translate business requirements into technical solutions
- Provide technical leadership, mentorship, and guidance to a team of developers
- Establish and enforce coding standards, best practices, and development frameworks
- Oversee code reviews, performance optimization, and system troubleshooting
- Manage project timelines, delivery commitments, and resource planning
- Ensure CI/CD pipelines, DevOps practices, and cloud-native development standards are followed
- Stay updated with emerging technologies, particularly in AI, cloud computing, and microservices architecture
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field
- 5-7+ years of experience in Java development, with at least 2–3 years in a leadership role
- Strong expertise in Java (Spring Boot, Microservices architecture)
- Familiarity or hands-on experience with Microsoft Azure (App Services, Azure Functions, AKS, Azure DevOps)
- Experience integrating AI/ML services (e.g., REST APIs, Azure AI, OpenAI, or similar platforms)
- Solid understanding of RESTful APIs, distributed systems, and event-driven architecture
- Experience with relational and NoSQL databases
- Proven experience in leading development teams and delivering complex projects
Preferred Qualifications
- Experience with AI frameworks or tools (e.g., TensorFlow, PyTorch, or cloud-based AI services)
- Familiarity with containerization (Docker, Kubernetes)
- Exposure to data engineering or big data technologies
- Strong knowledge of DevOps practices and CI/CD pipelines
- Experience working in Agile/Scrum environments
- Azure certifications (e.g., Azure Developer Associate, Azure Solutions Architect)
