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Principal Software Engineer - CoreAI at Microsoft

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Feb, 26

Salary

0.0

Posted On

21 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Services, Distributed Systems, DevOps, Machine Learning, AI Applications, C++, C#, Go, Java, Python, Scalability, Robustness, Observability, Software Engineering, Code Reviews, Design Reviews

Industry

Software Development

Description

Design, and develop 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. Evaluate alternative architectures and technologies that best fit the business requirements and service KPIs. Take end-to-end responsibility for the development lifecycle and production readiness of the services you build and drive the team's DevOps culture. Drive and uphold the 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#, Go, Java, or Python OR equivalent experience. 6+ years technical engineering experience designing and delivering highly available, large-scale cloud services and distributed systems. Experience building AI or ML related applications. These requirements include but are not limited to the following specialized security screenings: 12+ years of technical engineering experience with coding in languages including, but not limited to, C++, C#, Go, Java, or Python 4+ years of technical engineering experience with machine learning model development, release, and operations

Responsibilities

Design and develop large-scale distributed cloud services with a focus on high availability and scalability. Lead project development and drive the team's DevOps culture while ensuring production readiness of the services.