| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type: Hybrid
Location: WA · CA
Salary: $142,800–$274,800 / yr
Posted: 53 days ago
Closes: Oct 10, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k

This role $209k

$106k most similar roles pay here $293k

This role pays more than 76% of similar roles. Most pay $152,150–$208,800 — the shaded band above. At the midpoint, this role pays about $209k versus about $180k for comparable roles.

Based on 239 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 728 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 664 roles with salary data.

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View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

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As a Principal Data Infrastructure Engineer at Microsoft AI, you will join a team of experts dedicated to building and maintaining large-scale data and ML pipelines. Your primary responsibilities include architecting scalable big data infrastructure, championing DevOps best practices, and developing self-service platforms for data engineers and researchers. You will work with tools like Bicep, Terraform, ARM, Kubernetes, Helm/Kustomize, and Databricks to automate deployments and manage CI/CD pipelines. Essential skills include deep expertise in distributed systems, scripting languages such as Python or Bash, and experience with cloud-native infrastructure on Azure, AWS, or GCP. You will collaborate closely with data scientists, AI researchers, and security teams to ensure secure and efficient big data workflows, optimizing system performance across storage, compute, and analytics layers.

Skills

Azure AWS GCP Kubernetes Terraform Python Bash PowerShell CI/CD Databricks IAM OAuth Kerberos HDFS ADLS Gen2 Event Hub Kafka RabbitMQ TypeScript Node.js React LLMs Prompt Engineering

What you'll do

Architect and maintain scalable Big Data Infrastructure for mission-critical AI applications.
Develop CI/CD pipelines using Infrastructure as Code tools like Bicep, Terraform, or ARM.
Proactively identify and resolve bottlenecks in data pipelines and infrastructure.
Optimize system performance across storage, compute, and analytics layers.
Lead technical design reviews to uphold a clean, secure, and well-documented codebase.

What we're looking for

Master's Degree in Computer Science or related field with 4+ years of relevant experience, or equivalent.
Extensive hands-on experience managing and scaling distributed systems in both bare-metal and cloud-native environments.
Proven success in deploying containerized applications using Kubernetes and Helm/Kustomize.
Solid scripting skills in Python, Bash, or PowerShell for automation tasks.
Experience with CI/CD pipeline management and production troubleshooting.
Deep understanding of data storage technologies including relational databases, NoSQL, key-value stores, and distributed file systems.

| Microsoft Careers

Microsoft

US 46 days ago

Azure Python C# JavaScript R Terraform Bicep Azure Functions Docker API Management Azure Cognitive Services Azure OpenAI Azure AI Search Vector Indexes Azure Document Processing Infrastructure as Code CI/CD

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