Overview
Define technical direction for cloud infrastructure and machine learning platforms across multiple engineering teams. Design and review distributed systems that support model training, model inference, data processing, and platform services. Work with partner teams to align architecture, reliability, security, scalability, and operational requirements. Improve platform efficiency, including compute utilization, resource management, and service performance. Support Machine Learning Operations (MLOps) practices for model development, deployment, monitoring, and lifecycle management. Provide technical guidance for Kubernetes-based platforms and Artificial Intelligence (AI) workloads running in production environments. Contribute to long-term platform planning, technical standards, and engineering best practices across the organization. Bachelor's Degree in Computer Science or related techni
Full job description
Full Job Description
Define technical direction for cloud infrastructure and machine learning platforms across multiple engineering teams. Design and review distributed systems that support model training, model inference, data processing, and platform services. Work with partner teams to align architecture, reliability, security, scalability, and operational requirements. Improve platform efficiency, including compute utilization, resource management, and service performance. Support Machine Learning Operations (MLOps) practices for model development, deployment, monitoring, and lifecycle management. Provide technical guidance for Kubernetes-based platforms and Artificial Intelligence (AI) workloads running in production environments. Contribute to long-term platform planning, technical standards, and engineering best practices across the organization. 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, Go, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Master's Degree in Computer Science, Computer Engineering, or a related technical field AND 8+ years of technical engineering experience developing software in Go, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science, Computer Engineering, or a related technical field AND 12+ years of technical engineering experience developing software in Go, C, C++, C#, Java, JavaScript, or Python 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, graphics processing unit infrastructure, distributed batch scheduling systems, machine learning operations frameworks, KubeRay, and Kueue. Strong understanding of modern large language model and foundation model ecosystems, including training, inference, model serving, and observability. Experience building and scaling enterprise artificial intelligence infrastructure and platforms that support production workloads. Demonstrated ability to lead architecture decisions and drive technical strategy across cross-functional engineering teams.
Tips for this job
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
Verification notes
Verified from public schema.org JobPosting structured data on the official source page. The complete published description, responsibilities, requirements and benefits were normalized when present; unstated facts were not inferred.
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
Microsoft Careers ↗Browse current Job and Scholarship listings from Microsoft Careers →
