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Tier-1 employer and Bangalore increase competition, but GenAI specialization reduces mass applicant pool.
GenAI and cloud engineering skills are transferable but require specialized ML/LLM experience.
Explicit 7-year requirement plus managerial, GenAI, Python, cloud, and deployment skills raise filter strictness.
Lead and manage a team developing and implementing advanced GenAI software solutions, including event-driven architectures and containerized deployments.
Engage with senior leadership and cross-functional teams to align technical solutions with business objectives and drive innovation in GenAI applications.
Oversee the development and management of data lakes and ensure collaboration across software engineers, data scientists, and DevOps for seamless GenAI model integration and deployment.
Bachelor's Degree in Engineering, Technology, or related field.
Minimum 7 years of professional experience in software engineering or related roles.
At least 3 years hands-on experience with Python programming and building scalable Python applications, especially for GenAI use cases.
Experience with containerized application deployment and management on cloud platforms (Azure/AWS), plus proficiency with CI/CD practices and version control (Git).
Proven leadership experience managing software engineering teams focused on GenAI technologies and advanced data processing solutions.
Strong expertise in designing modular, reusable, and secure software architectures incorporating cloud-native patterns and containerization.
Demonstrated ability to translate complex business requirements into scalable technical solutions and maintain up-to-date knowledge of GenAI frameworks and industry best practices.