| Microsoft Careers

Microsoft

Quick summary

Work type: On-site
Location: US
Salary: $119,800–$234,700 / yr
Posted: 40 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $180k

This role $177k

$106k most similar roles pay here $248k

This role pays more than 64% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $177k 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 1577 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1405 roles with salary data.

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At a glance

TL;DR · | Microsoft Careers

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As a Senior Software Engineer on the Azure Data Integration team within Microsoft’s Azure Data division, you will focus on enhancing product quality and supportability by building AI-powered test infrastructure and diagnostic tools. Your daily tasks include automating log analysis with Python and PowerShell to reduce manual workflows, creating proactive observability through Power BI and Azure Data Explorer dashboards for incident prediction, and collaborating closely with the support team to resolve customer escalations efficiently. You will also lead cross-geography engineering efforts, ensuring consistent quality in testing and deployment processes. This role requires expertise in AI/LLM tools, CI/CD frameworks, telemetry analysis, and experience with data integration platforms like Azure Data Factory and Fabric Pipelines.

Skills

Python PowerShell KQL Azure Data Factory Azure Data Explorer Power BI CI/CD LLMs Terraform GitHub Docker Kubernetes GitOps SLIs/SLOs Prometheus Grafana Azure Cloud

What you'll do

Build intelligent test infrastructure using LLMs to detect coverage gaps and flaky tests.
Develop agents and copilot experiences for automated log analysis and incident triage.
Create proactive observability tools with Power BI and Azure Data Explorer for anomaly detection.
Partner with support teams to build AI-powered diagnostic tools for case resolution acceleration.
Lead cross-geography engineering efforts on testing, deployment, and live site work coordination.

What we're looking for

6+ years of experience in software engineering, preferably with a Master’s degree in Computer Science.
Proven track record in building test automation frameworks and implementing CI/CD quality gates.
Hands-on experience in cloud service operations, incident management, and live site engineering.
Expertise in AI/LLM tools, Copilot-style assistants, prompt engineering, or agent-based automation.
Strong background in telemetry, dashboards, and data analysis using Azure Data Explorer (KQL) and Power BI.

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