Microsoft's cloud business is the core part of Microsoft, and it is growing exponentially. C+AI Datacenter Security team is the key team focused on ensuring that the foundation of Microsoft cloud business has rock-solid security, meeting highest industry bar, and is evolving as threats landscape evolves. We are looking for seasoned Group Engineering Manager who is passionate about ultra-high scale, globe-spanning systems and about Security. You would be working in an exciting and fast-paced environment, collaborating with multiple teams and building sophisticated data processing and security systems that protect our datacenter footprint across the world. In this role you will be responsible for the leadership of the software architecture, development and quality assurance for these services. You will partner with product management and teams across the company to steer our efforts in Datacenter Security space and to deliver critical enabling components as well as complete security solutions,
Primary duties: Provide leadership to the software engineering teams: architecture, design, development and quality assurance. Partner with Product Management and other teams in C+AI Security and across the company to meet immediate and longer term objectives. Manage the team to achieve target scope, schedule and SLA objectives. Accomplish this while still supporting peer teams with the ultimate goal of quality services. Identify and create plan of action to hire and retain top talent, strengthen bench talent and succession plans within the software engineering teams. Successful candidates need
Basic Qualifications: A minimum of a bachelor's degree in Computer Science, Engineering or a related field, or equivalent alternative education, skills, and/or practical experience is required. 10+ years of experience designing and developing software and/or cloud services 5+ years of experience leading engineering teams Preferred Qualifications: Proficient with C# Experience designing and developing scalable data ingestion and transformation systems in batch and near real time environments. Experience applying machine learning methods on challenging business problems. Ability to meet Microsoft,