The Member of Technical Staff - Principal Data Infrastructure Engineer role at Microsoft focuses on building and maintaining scalable Big Data Infrastructure for AI applications. This position combines elements of Platform Engineering, DevOps/SRE, and Big Data Infrastructure Engineering. The ideal candidate will have a strong background in architecting big data platforms and a passion for automation and observability. The role emphasizes collaboration with various teams to deliver secure and efficient big data workflows.

• Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering.
• OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering.
• OR equivalent experience.
• 4+ years in Big Data Infrastructure, DevOps, SRE, or Platform Engineering.
• 3+ years of hands-on experience managing and scaling distributed systems.
• 2+ years deploying containerized applications using Kubernetes and Helm/Kustomize.
• Solid scripting and automation skills using Python, Bash, or PowerShell.
• Proven success in CI/CD pipeline management and production troubleshooting.
• Experience working with Databricks for scalable data processing and analytics.
• Familiarity with security practices in infrastructure environments.

• Architect and maintain scalable, reliable, and observable Big Data Infrastructure for mission-critical AI applications.
• Champion DevOps and SRE best practices including automated deployments and service monitoring.
• Build a self-service big data platform that empowers data and platform engineers and researchers.
• Develop robust CI/CD pipelines and automate infrastructure provisioning using Infrastructure as Code tools.
• Collaborate with Data Engineers, Data Scientists, AI Researchers, and Developers to deliver secure big data workflows.
• Lead technical design reviews and uphold a clean, secure, and well-documented codebase.
• Proactively identify and resolve bottlenecks in data pipelines and infrastructure.
• Optimize system performance across storage, compute, and analytics layers.
• Partner with Security teams to enhance system security.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.