| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Salary
$119,800–$234,700 / yr
Posted
159 days ago
Closes
Jul 7, 2026

Market check

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 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 1586 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1414 roles with salary data.

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At a glance

TL;DR · | Microsoft Careers

As a Senior Software Engineer on Microsoft's MAIST team, you will play a pivotal role in designing and building core platform services for scalable training and evaluation of AI models. Your responsibilities include standardizing containerized workflows, implementing end-to-end observability through metrics and logging tools like Prometheus and Grafana, and architecting cloud-based infrastructure using Azure and Terraform. You will collaborate closely with data and product teams to ensure that the infrastructure supports the development of reliable and efficient AI systems. The role requires strong software engineering fundamentals in Python, Kubernetes, and distributed systems, as well as hands-on experience with cloud platforms and platform services such as job orchestration and data pipelines.

What you'll do

  • Design and build core platform services for scalable training and evaluation.
  • Standardize containerized workflows by maintaining Docker images and runtime configurations.
  • Implement end-to-end observability through metrics, tracing, logging, and monitoring.
  • Architect and operate Azure cloud platforms using infrastructure-as-code practices.
  • Enhance developer experience by creating tools for job submission and experiment management.

What we're looking for

  • Strong software engineering fundamentals in large-scale production systems.
  • Hands-on experience owning and operating production infrastructure.
  • Proficiency in Python for primary language use in production systems.
  • Expertise with Kubernetes and containers for deploying and managing workloads.
  • Experience building or operating platform services like job orchestration.
  • Ownership of production operations including monitoring, logging, and alerting.
  • Comfortable working on cloud platforms (Azure preferred; AWS/GCP acceptable).

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