Microsoft Software Engineering IC3 

Taiwan, Taoyuan City 

334525158

Required:

• Bachelor’s degree in computer science, or related technical discipline AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, or Python etc. OR equivalent experience.
• • Experience in building, shipping and maintaining cloud services on Azure, AWS, Google Cloud or similar • Ability to work in a fast-paced, dynamic environment and manage multiple priorities.
• • Required problem solving, system design, rapid prototyping, and effective communication skills.

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: Microsoft Cloud Background Check:
- This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Experience in developing, fine-tuning, integrating and automated deployment of Generative AI models, such as large language models (LLMs) - Proficiency with containers and experience working with Kubernetes for orchestration and strong experience with Git and CI/CD pipelines for automated testing and deployments

• We are looking for a customer obsessed and results oriented software engineer, who can design and develop Generative AI services.
• The team is responsible for delivering a suite of generative AI API based offerings that deliver large language model (LLM) capabilities to Security developers and organizations.
• These services are designed to simplify the integration of AI functionalities by abstracting the underlying complexities.
• This team is responsible for building capabilities to offer different base or fine-tuned generative AI models (STM, SecPhi, Fine Tuned Qwen/Llama etc) and enabling deployments at scale, GPU capacity management and optimization, integrating Responsible AI compliance across AI services and handles uninterrupted model upgrades, deployment and fine tuning.

Responsibilities include:

• Develop “best-in-class” engineering for our services by ensuring that the services and the components are well-defined and modularized, secure, scalable, compliant, reliable, diagnosable, actively monitored and reusable
• Adhere to and drive modern software engineering practices through design reviews
• Adding and optimizing monitoring coverage, including self-healing for services
• System design through well-defined interfaces across multiple components, code reviews, leveraging data/ telemetry to make decisions
• Engage in service capacity planning and demand forecasting, service integration and geo-expansion, software performance analysis and system tuning.
• Troubleshoot and optimize automation, reliability, and monitoring for Live Site