Job
Description
As a Software Engineering Senior Manager at our company, you will lead high-performing engineering teams focused on AI and Automation-driven technology solutions. Your responsibilities will include building and guiding empowered teams, driving agile engineering transformation, and ensuring delivery of scalable, secure, and high-performance solutions. Collaboration with various stakeholders such as product owners, architects, and global engineering partners will be essential in this role. Key Responsibilities: - Lead and manage agile engineering teams working on AI and Automation frameworks - Design and analyze advanced distributed systems for processing and retrieving large volumes of data - Support product delivery partners in building, testing, and releasing technology solutions - Develop scalable software using maintainable and modular code - Lead daily stand-ups and agile ceremonies to track progress and address challenges - Provide technical and thought leadership across engineering teams - Ensure applications are designed following robust engineering patterns and best practices - Promote innovation, efficiency, quality, security, and performance - Collaborate with business and product teams to align technology solutions with business objectives - Take ownership of technology assets and engineering deliverables - Ensure a deep understanding of business workflows and application architecture Required Skills: - Hands-on experience with cloud platforms (Azure, AWS, or GCP) - Experience with Machine Learning and AI models - Strong background in software engineering, data engineering, and distributed systems - Proficiency in data modeling, data exploration, and scientific computing tools - Understanding of regulated or compliance-based environments - Experience in building secure AI applications throughout the development lifecycle - Strong communication, stakeholder management, leadership, negotiation, and relationship management skills - Expertise in leading Agile/Scrum teams - Knowledge of CI/CD, test-driven development, and modern software delivery practices - Strong understanding of Object-Oriented Programming, Design Patterns, and Data Structures - Proficiency in building REST APIs and Microservices - Ability to provide strategic technical direction at an enterprise scale Required Experience & Education: - 13+ years of professional experience in software engineering - Experience in managing large engineering teams with 30+ members - Experience with Databricks in an Azure environment - Strong Data Engineering background - Bachelors degree in Computer Science, Mathematics, Statistics, Economics, or related field (Masters preferred) - Experience working in onshore/offshore and vendor management models Preferred Experience: - Experience in the Healthcare domain - Experience in coaching and mentoring engineering teams As a Software Engineering Senior Manager at our company, you will lead high-performing engineering teams focused on AI and Automation-driven technology solutions. Your responsibilities will include building and guiding empowered teams, driving agile engineering transformation, and ensuring delivery of scalable, secure, and high-performance solutions. Collaboration with various stakeholders such as product owners, architects, and global engineering partners will be essential in this role. Key Responsibilities: - Lead and manage agile engineering teams working on AI and Automation frameworks - Design and analyze advanced distributed systems for processing and retrieving large volumes of data - Support product delivery partners in building, testing, and releasing technology solutions - Develop scalable software using maintainable and modular code - Lead daily stand-ups and agile ceremonies to track progress and address challenges - Provide technical and thought leadership across engineering teams - Ensure applications are designed following robust engineering patterns and best practices - Promote innovation, efficiency, quality, security, and performance - Collaborate with business and product teams to align technology solutions with business objectives - Take ownership of technology assets and engineering deliverables - Ensure a deep understanding of business workflows and application architecture Required Skills: - Hands-on experience with cloud platforms (Azure, AWS, or GCP) - Experience with Machine Learning and AI models - Strong background in software engineering, data engineering, and distributed systems - Proficiency in data modeling, data exploration, and scientific computing tools - Understanding of regulated or compliance-based environments - Experience in building secure AI applications throughout the development lifecycle - Strong communication, stakeholder management, leadership, negotiation, and relationship management skills - Expertise in leading Agile/Scrum teams - Knowledge of CI/CD, test-driven development, and modern software delivery practices - Strong understanding
