13 hours ago
Base Salary
$143k - $304k/yr
Responsibilities
- Define technical direction for cloud infrastructure and machine learning platforms across multiple engineering teams.
- Design and review distributed systems supporting model training, model inference, data processing, and platform services.
- Align architecture, reliability, security, scalability, and operational requirements with partner teams.
- Improve compute utilization, resource management, platform efficiency, and service performance.
- Support MLOps practices for model development, deployment, monitoring, and lifecycle management.
- Provide technical guidance for Kubernetes-based platforms and AI workloads in production.
- Lead long-term platform planning, technical standards, engineering best practices, and architecture decisions.
- Mentor engineers and drive technical strategy across cross-functional engineering teams.
Requirements
- Bachelor's degree in Computer Science or a related technical field and 6+ years of technical engineering experience with coding in Go, C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
- Ability to meet Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud Background Check.
- Preferred: master's degree with 8+ years of technical engineering experience, or bachelor's degree with 12+ years of technical engineering experience, or equivalent practical experience.
- Deep experience with Kubernetes, containers, cloud platforms, networking, storage systems, site reliability engineering, and large-scale distributed systems.
- Experience designing and operating machine learning platforms, large-scale model training environments, GPU infrastructure, distributed batch scheduling systems, MLOps frameworks, KubeRay, and Kueue.
- Strong understanding of large language model and foundation model ecosystems, including training, inference, model serving, and observability.
- Experience building and scaling enterprise AI infrastructure and platforms for production workloads.
- Demonstrated ability to lead architecture decisions and technical strategy across cross-functional engineering teams.
Tech Stack
Categories
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.