Senior Software Engineer

Microsoft

Quick summary

Work type
On-site
Location
—
Posted
88 days ago
Closes
Sep 27, 2026

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Salary context

How this pay compares to similar roles

Similar $184k
$106k most similar roles pay here $248k

This listing doesn't post a salary. Most similar roles pay $152,150–$215,250.

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 622 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 571 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer

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As a Software Engineer at Microsoft's Cloud+AI Silver Team, you will work closely with engineers and PMs to deploy and operate Azure services in air-gapped environments, ensuring compliance with stringent security policies for both public and private sector customers. Your daily tasks include conducting incident retrospectives, applying least-access principles, and enhancing code performance while maintaining testability and security. You will lead the architecture of complex solutions, collaborate across teams to ensure system reliability and scalability, and drive automation efforts towards zero-touch deployment. Key skills required are proficiency in AI tools for development and testing, a deep understanding of global regulations, and expertise in engineering best practices such as SDLC and SPACE framework. This role demands strong coding abilities, design thinking, and continuous learning to adapt to the evolving technology landscape.

Skills

Azure Python Kubernetes CI/CD Terraform PostgreSQL Docker Prometheus Grafana Git GitHub SDLC Accelerate SPACE Engineering System Success Playbook AI tools Test automation Unit tests Security testing Zero-touch deployment Compliance Regulations Disaster recovery Automation Open source

What you'll do

  • Develops AI-generated requirements and designs, improving processes using SDLC measures.
  • Conducts incident retrospectives to identify root causes and implement preventive mechanisms.
  • Improves code performance, testability, and maintainability while considering trade-offs.
  • Designs clear test strategies ensuring solution quality and security compliance.
  • Leads architecture discussions and creates complex design specifications for products.
  • Ensures product development meets customer requirements with best practices for scaling.

What we're looking for

  • Extensive experience in AI-native development and SDLC processes.
  • Proficient in conducting incident retrospectives and implementing least-access principles.
  • Expertise in designing testable code and maintaining comprehensive test strategies.
  • Strong background in system architecture and integration with compliance standards.
  • Drives automation and zero-touch deployment for production environments.
  • Ensures security, privacy, and accessibility compliance across products and systems.

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