Senior Software Engineer at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Feb, 26

Salary

0.0

Posted On

21 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Generative AI, Large Language Models, Python, C#, Java, C++, JavaScript, Machine Learning, Azure, Distributed Systems, Microservices, Cosmos DB, Infrastructure Design, Security, Mentoring

Industry

Software Development

Description

Ship features with PM & Engineering. Co-own scenario goals; translate product requirements into scientific plans and productionized solutions that meet quality/latency/cost targets. Generative AI and advanced technologies. Apply knowledge of generative AI, large language models, and modern frameworks to develop intelligent features and automation within the service. Azure platform integration. Deploy, integrate, and manage AI powered solutions within the Azure ecosystem, ensuring security, scalability, and compliance with best practices. Continuous learning and mentoring. Stay current with advances in generative AI and software engineering. Invest time in learning new tools and frameworks, propose improvements to build processes, and share knowledge with colleagues. Serve as an expert for the rest of the team. Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python 1+ year experience with AI and machine learning, including hands-on experience in generative AI or machine learning frameworks, included but not limited to, PyTorch, TensorFlow, and Hugging Face and understanding of LLM concepts, embeddings, and prompt engineering. 4+ years experience with distributed systems and cloud technologies, including familiarity with Azure services, microservices architectures, and distributed storage systems. 4+ years experience in designing and managing large-scale, fault-tolerant infrastructure, and implementing secure, compliant solutions. These requirements include but are not limited to the following specialized security screenings: Master'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 Bachelor'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 equivalent experience. 5 + years of experience designing and running infrastructure systems that operate globally on a large scale 3+ years experience with Cosmos DB or similar Experience deploying AI models into production environments and building systems that monitor and retrain models automatically. Passion for mentoring others and contributing to an inclusive team culture.

Responsibilities

Ship features with PM & Engineering, co-own scenario goals, and translate product requirements into scientific plans and productionized solutions. Deploy, integrate, and manage AI-powered solutions within the Azure ecosystem while ensuring security, scalability, and compliance with best practices.