Lead the design and implementation of advanced, scalable, cloud-native applications, with a strategic emphasis on AI-assisted development. This senior management role requires profound expertise in full-stack technologies, contemporary architectural patterns, and hands-on experience with event-driven systems and cloud environments. Exceptional leadership and stakeholder engagement capabilities are essential for success in this dynamic position.

Oversee the complete lifecycle of enterprise-grade full-stack applications, from initial design through deployment. Champion the integration of AI-powered coding tools to boost engineering efficiency. Architect and develop robust microservices using Java and modern frameworks. Construct and manage real-time data processing pipelines and event-driven systems with Kafka. Build sophisticated AI agent solutions on AWS and design resilient, scalable systems across any cloud platform. Collaborate closely with product owners, architects, and business stakeholders to ensure alignment. Uphold the highest standards in coding, security, performance, and DevOps practices. Mentor and lead development teams, cultivating a culture of continuous improvement and collaboration. Engage in client discussions, requirement gathering, and solution design. Drive Agile methodologies throughout the team's delivery processes.

Demonstrated extensive experience in Java Full Stack Development, encompassing backend technologies like Java, Spring Boot, and Microservices. Proficiency in modern JavaScript frameworks is beneficial, particularly for backend-focused roles. Expertise in Apache Kafka and event-driven architecture is critical. Familiarity with building AI agents is required. Strong command over relational databases (Oracle, PostgreSQL, MySQL) is a must, with NoSQL databases (MongoDB, Cassandra) being advantageous. Hands-on experience with cloud platforms such as Azure, AWS, or GCP is essential, including containerization (Docker) and orchestration (Kubernetes). Knowledge of cloud-native services and CI/CD pipelines is expected. Frontend expertise in Angular or React, and hands-on experience with AI-powered coding tools, are highly desirable.