Manager - Java with Gen AI and Microservices

• Lead and mentor a team of developers, technical leads, and architects across projects.
• Foster collaboration, innovation, and a culture of continuous improvement within the team.
• Act as a thought leader, coaching team members toward achieving technical excellence and organizational goals.
• Represent the technology vision with stakeholders, including clients, internal teams, and senior leadership.
• Track record of leading mid-to-large-sized technical teams (15+ members) and ensuring end-to-end accountability in deliverables and client management.

Strategic Planning and Execution:

• Define and execute strategic technology solutions leveraging Java Microservices, Event Driven Architecture, cloud architectures, enterprise Security and Generative AI (GenAI) capabilities.
• Engage with clients to identify business challenges, conduct discovery sessions, and propose transformative solutions.
• Oversee solutioning, technical evaluations, effort estimations, and delivery planning.
• Champion the adoption of GenAI and other emerging technologies for automating processes, enhancing innovation, and driving business value.
• Proven experience in conceptualizing, architecting, and delivering cloud-based enterprise solutions tailored to complex client needs., + Drive cloud-native designs and deployments on platforms like AWS /Azure / Google Cloud Platform, ensuring scalability and performance.

• Manage CI/CD pipelines using tools like Jenkins, GitLab, or equivalent and oversee infrastructure setup via Terraform or similar tools.
• Introduce efficient monitoring, logging, and observability solutions using cloud-based ecosystem and /Or ELK, Prometheus, Grafana, Datadog etc.
• Enhance system reliability and scalability using modern cloud services and incident monitoring setups.

3. Database Expertise:

• Ensure robust database management with proficiency in SQL & NoSQL systems like MongoDB, Postgres, MySQL, or others.
• Implement efficient data modeling and scaling strategies, ensuring overall system performance.

4. Generative AI Integration for Delivery Optimization:

• Leverage Generative AI to enable automation in the development lifecycle, generate insights, and optimize project delivery.
• Identify use cases where GenAI can drive efficiencies in tactical projects, innovation streams, and day-to-day team workflows.
• Automate processes ranging from code generation to efficiency optimizations in software pipelines.

• Architect and deliver enterprise-grade, scalable microservices using Java-based technologies (Java 8 and above) and frameworks like Springboot and reactive architecture patterns
• Apply advanced programming expertise, including Solid Principles, multithreading, reactive programming and data structure optimizations.
• Ensure seamless integration of event-driven architectures using technologies like Kafka, RabbitMQ, or equivalent cloud messaging.
• Lead API development leveraging REST/GraphQL standards and incorporate security best practices (OAuth 2.0, API Gateways, IAM).
• Experience in specific solution patterns and products on one or more business verticals like Finance / Retail / Telecom / Travel & Hospitality etc.
• Experience in Full Stack technologies like React JS is a plus.
• Experience in Python is a plus