# Member of Technical Staff - Principal Data Infrastructure Engineer

**Company**: Microsoft AI
**Location**: Redmond
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://microsoft.ai/job/member-of-technical-staff-principal-data-infrastructure-engineer/
**Canonical**: https://yubhub.co/jobs/job_6308fa9f-2f4

## Description

## Summary

Microsoft AI are looking for a talented Member of Technical Staff - Principal Data Infrastructure Engineer at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

## About the Role

As a Member of Technical Staff - Principal Data Infrastructure Engineer, you will be responsible for architecting and maintaining scalable, reliable, and observable Big Data Infrastructure for mission-critical AI applications. You will champion DevOps and SRE best practices—automated deployments, service monitoring, and incident response. You will build a self-service big data platform that empowers data and platform engineers and researchers. You will develop robust CI/CD pipelines and automate infrastructure provisioning using Infrastructure as Code tools (Bicep, Terraform, ARM).

## Accountabilities

- Architect and maintain scalable, reliable, and observable Big Data Infrastructure for mission-critical AI applications.

- Champion DevOps and SRE best practices—automated deployments, service monitoring, and incident response.

## The Candidate we're looking for

**Experience:**

- 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.

**Technical skills:**

- 4+ years in Big Data Infrastructure, DevOps, SRE, or Platform Engineering.

- 3+ years of hands-on experience managing and scaling distributed systems—from bare-metal to cloud-native environments.

- 2+ years deploying containerized applications using Kubernetes and Helm/Kustomize.

- Solid scripting and automation skills using Python, Bash, or PowerShell.

**Personal attributes:**

- Excellent interpersonal and communication skills, with a solid passion for mentorship and continuous learning.

## Benefits

- Starting January 26, 2026, Microsoft AI employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week.

- Microsoft’s mission is to empower every person and every organization on the planet to achieve more.

- Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

## Skills

### Required
- Big Data Infrastructure
- DevOps
- SRE
- Platform Engineering
- Python
- Bash
- PowerShell
- Kubernetes
- Helm/Kustomize

### Nice to have
- Databricks
- IAM
- OAuth
- Kerberos
- Azure
- AWS
- GCP