Own & influence system architecture and technical strategy for the team balancing near term delivery with long term architecture. Grow your team and up-level your team’s culture, wellbeing and productivity. Model empathy and be a driver for inclusiveness and collaboration. Plan, collaborate and execute with other engineering leaders across the company. Mentor and develop engineers across all levels through sharing and learning.
Responsibilities
Provide technical and people leadership for one or more Copilot Analytics engineering team, driving the design, development, and operation of Copilot Analytics. Partner with product management, visual design & research teams to design and prioritize features that drive business impact. Establish and uphold engineering best practices for availability, observability, reliability, security, and performance. Deliver engaging and impactful user experiences to drive user engagement. Deliver a high-quality, highly available service that meets customer SLAs across the globe. Drive long-term design thinking for systems and engineering processes with simplicity and maintainability as core tenets. Deliver value through a strong collaborative approach spanning many teams across geographies. Measure the impact of your features through deep user telemetry and experimentation, and take a data driven approach to learn and iterate. Remove roadblocks for your team. Improve your team efficiency and agility through investments in our engineering systems (developer, monitoring and manageability tools). Be a role model for an open, honest and inclusive approach to problem solving.
Required Qualifications
Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. OR equivalent experience. 5+ years of experience in leading seasoned teams. Strong abilities in building diverse and inclusive teams with experience in guiding senior engineers. Proven track record for customer-focused innovation. Demonstrated depth and experience in design and implementation of large-scale cloud services. Excellent technical, cross group collaboration and communication skills. Knowledge of modern engineering practices like automated deployments with integrated quality gates and experience working with modern version control systems like Git. Knowledge of leveraging modern AI tools in Software Engineering. Experience building scalable & distributed backed systems or platforms along with knowledge of Microservices based architecture. Good understanding of backend & frontend integration along with basic knowledge of frontend technologies. Experience on Big Data & related ecosystem is a plus. Experience with data analysis and machine learning is a plus. Experience leading a team with AI driven software engineering is a plus. Experience partnering with data science or ML teams to deliver relevance driven user experiences. Background in building high availability, low latency services with strict SLA requirements. Experience hiring, mentoring, and growing senior technical talent. Ability to operate effectively with ambiguity and influence across organizational boundaries.
Original Posting
This role is sourced from Microsoft. Apply on Microsoft careers page