| Microsoft Careers

Microsoft

Quick summary

Work type: On-site
Location: Redmond, WA
Salary: $119,800–$234,700 / yr
Posted: 73 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 Availability Platform team within Azure Compute, you will work to ensure that every Azure virtual machine meets an SLA of 99.99 percent by developing and integrating predictive failure models using AI and machine learning. Your day-to-day responsibilities include collaborating with data scientists and ML engineers to design proactive monitoring systems that detect hardware anomalies and trigger live migrations, thereby improving VM uptime and SLA compliance. You will also drive the adoption of generative AI tools for automating documentation and incident summaries, enhancing team productivity and knowledge sharing. The role requires expertise in C#, Python, Kubernetes, and cloud-native technologies, as well as experience with large-scale data processing frameworks like Apache Spark or Hadoop. This position offers hands-on experience with services architecture at hyperscale while addressing critical business challenges related to reliability and efficiency in a highly dynamic environment.

Skills

Azure Kubernetes Docker CI/CD Python C# SQL PostgreSQL AI Machine Learning Generative AI Terraform Prometheus Grafana DevOps SRE

What you'll do

Leads the design and architecture of change management features in Azure Compute.
Develops predictive models with data scientists to proactively detect hardware anomalies.
Integrates AI-driven diagnostics into availability services to reduce incident resolution time.
Drives adoption of generative AI tools for automating documentation and engineering workflows.
Evaluates and integrates large-scale AI models into control plane services for smarter repair decisions.

What we're looking for

Extensive experience in designing and implementing fault-tolerant distributed systems.
Proficiency in developing high-quality, maintainable code for large-scale services.
Expertise in collaborating with data scientists to integrate predictive models and AI-driven diagnostics.
Strong background in managing project dependencies and authoring detailed design documents.
Experience in driving the adoption of generative AI tools for automation and knowledge sharing.
Capabilities in evaluating and integrating large-scale AI models into control plane services.

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