Principal Software Engineering Manager, CoreAI

Job description

Lead a team of software engineers, hiring, growing, and upskilling their talent Review the design and code artifacts that make up large-scale distributed cloud services and solutions with a focus on high availability, scalability, robustness, and observability. Lead project development across the organization and work with subject matter experts and stakeholders to drive development and release plans. Ensure systems owned by the team meet business requirements and service KPIs.

Take end-to-end responsibility for the development lifecycle and production readiness of the services the team builds and drive the team's DevOps culture. Ensure the team follows best practices of modern software engineering through code and design reviews and take effective service decisions based on data and telemetry. Embrace a growth mindset and stay up to date with the current and state-of-the-art technologies to improve customer experience and better serve the product's business needs.

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. These requirements include, but are not limited to the following specialized security screenings: Master's Degree in

Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR 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 directly managing software engineers building backend services, cloud infrastructure, or platforms 5+ years technical engineering experience designing and delivering highly available, large-scale cloud services and distributed systems. 4+ years of technical engineering experience with machine learning model infrastructure, hosting, and operations.

Ability to navigate the company and influence and inspire peers in engineering and broad product development. Demonstrate depth of knowledge and understanding of software architecture, design tradeoffs, and practices of mature DevOps culture. The track record of pursuing and delivering innovative insights that translate to value generation.