Senior Software Engineer - Data Platform, AI Infrastructure | Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
—
Salary
$119,800–$234,700 / yr
Posted
4 days ago
Closes
Nov 28, 2026

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $192k
This role $177k
$106k most similar roles pay here $248k

This role pays less than 54% of similar roles. Most pay $157,500–$226,600 — the shaded band above. At the midpoint, this role pays about $177k versus about $192k for comparable roles.

Based on 240 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 310 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 285 roles with salary data.

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TL;DR · Senior Software Engineer - Data Platform, AI Infrastructure | Microsoft Careers

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As a Senior Software Engineer - Data Platform, AI Framework, you will join a dynamic team responsible for developing a large-scale, Azure-based data platform that processes vast amounts of data daily. Your role involves designing, building, and operating core infrastructure components such as orchestration systems (Airflow), backend services (Python/FastAPI), monitoring tools, and reliability systems to ensure the platform's robustness and scalability. You will work closely with data engineers to define standardized patterns for deployment and observability, diagnose complex issues in distributed systems, and contribute to infrastructure-as-code practices. The ideal candidate has strong Python programming skills, experience with Azure technologies like ADLS Gen2, Synapse/Spark, and Azure Data Explorer, as well as hands-on knowledge of cloud-based infrastructure, monitoring tools, and large-scale system design principles.

Skills

Python FastAPI Azure ADLS Gen2 Synapse Azure Data Explorer Airflow Terraform Bicep ARM CI/CD Prometheus Grafana Kubernetes PostgreSQL

What you'll do

  • Design and build core components of a distributed data platform using Python/FastAPI.
  • Operate and maintain orchestration systems like Airflow for reliable workflows.
  • Ensure backend services meet high standards for performance and reliability.
  • Define and enforce standardized patterns for infrastructure and observability.
  • Diagnose and resolve complex issues in large-scale distributed systems.
  • Partner with data engineering teams to enable efficient data processing.

What we're looking for

  • Strong programming experience in Python for building backend services or APIs.
  • Hands-on experience with cloud-based infrastructure (Azure preferred).
  • Proven ability to design and operate large-scale distributed systems.
  • Experience with monitoring and observability systems including metrics, logging, and alerting.
  • Ability to own and deliver production systems end-to-end, ensuring reliability and scalability.
  • Familiarity with Azure technologies such as ADLS Gen2, Synapse/Spark, and Azure Data Explorer.
  • Experience with infrastructure-as-code tools like Bicep, ARM, Terraform.

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