Key Responsibilities:

• Lead and manage a multidisciplinary engineering team, delivering high-quality solutions in Java, Python, cloud-native architectures, and AI/ML applications.
• Provide hands-on technical guidance, code reviews, and architectural direction in Java (Spring Boot, JPA, REST APIs) and Python (Flask, FastAPI, data pipelines, ML workflows).
• Collaborate with sales and business development teams to support presales efforts, including client consultations, solution architecture, and proposal creation.
• Define and implement scalable, secure, and maintainable technical architectures using Java and Python integrated with cloud platforms such as AWS, Azure, or GCP.
• Drive best practices in DevOps (CI/CD pipelines, containerization with Docker/Kubernetes), code quality, and testing strategies.
• Mentor team members across different experience levels, nurturing a culture of engineering excellence, continuous learning, and collaborative innovation.
• Actively engage with clients to understand requirements, present technical solutions, and ensure their satisfaction with project outcomes.
• Stay abreast of emerging trends in Java, Python, AI/ML, cloud-native development, and other relevant areas to guide the team toward modern, efficient solutions.
• Contribute to identifying new business opportunities and help evolve the company’s technical capabilities.