Required qualifications
- Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- 2+ years of experience with DevOps practices, including CI/CD pipelines, containerization, and infrastructure-as-code.
- 2+ years of experience with successful demonstration of system security, scalability, reliability, and maintainability.
- 1+ years experience designing and implementing ML/LLM-based solutions in production environments.
Other requirements
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred qualifications
- Master's Degree in Computer Science or related technical field AND 3+ 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 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Experience leveraging generative AI technologies to develop innovative and user-focused product features.
- Capable of optimizing, prompting and finetuning AI-based solutions for performance, accuracy, and scalability.
- Experience coaching and growing engineers within the team.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until September 30, 2025.