Senior Software Engineer, Integration and Automation

Microsoft

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$119,800–$234,700 / yr
Posted
2 days ago
Freshness
Confirmed live today
Closes
Mar 21, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $174k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 66% of similar roles. Most pay $149,500–$198,900 — the shaded band above. At the midpoint, this role pays about $177k versus about $174k 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 644 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 624 roles with salary data.

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View all roles at Microsoft

At a glance

TL;DR · Senior Software Engineer, Integration and Automation

As a Senior Software Engineer on the Integration and Automation team, you will design, build, and operate artificial intelligence-powered automation, continuous integration and delivery systems, distributed services, and developer platforms. You will own significant systems from design through production operation, focusing on building validation services, code-intelligence capabilities, and tools to improve engineering workflows at scale. Your daily work involves managing large repositories, high-volume builds, and complex deployment orchestrations while integrating capabilities via the Model Context Protocol and various APIs. The role requires proficiency in languages such as C, C++, C#, Java, JavaScript, or Python, alongside experience with gRPC, FastAPI, TypeScript, React, and Kubernetes. You will solve technical challenges related to automated software engineering tasks, retrieval-augmented generation, and building reliable infrastructure for intelligent agents within complex, large-scale production environments.

What does a Software Engineer earn in Remote?

Median $202482 from 350 postings across 56 companies.

See salary data

What you'll do

  • Design, build, and operate AI-powered automation, CI/CD systems, and distributed services.
  • Own core capabilities end-to-end, including architecture design, implementation, and operational health.
  • Build evaluation and validation systems to improve the accuracy of AI-assisted code changes.
  • Scale delivery platforms to support large repositories, high-volume builds, and complex deployment workflows.
  • Manage production service reliability by defining SLOs, alerts, runbooks, and incident response practices.
  • Expose automation and intelligence capabilities through Model Context Protocol (MCP) and APIs.
  • Conduct code and design reviews while mentoring engineers on testing and observability standards.
  • Translate partner feedback into practical improvements for developer tools and internal platforms.

What we're looking for

  • Bachelor's degree in Computer Science or a related technical field (preferred).
  • 4+ years of technical engineering experience coding in languages such as C, C++, C#, Java, JavaScript, or Python.
  • Ability to pass the Microsoft Cloud background check.
  • 3+ years of experience building, testing, launching, and operating backend services or data-intensive systems in production (preferred).
  • Experience owning the design and architecture of a significant system, including writing design documents and leading technical reviews (preferred).
  • Experience in distributed systems, CI/CD platforms, workflow orchestration, large-scale data pipelines, Kubernetes, or code intelligence (preferred).
  • 3+ years of experience delivering production software in AI-enabled automation, agentic workflows, RAG, or the Model Context Protocol (preferred).
  • Experience with gRPC, FastAPI, TypeScript, React, and various database systems like Qdrant, FAISS, Neo4j, or PostgreSQL (preferred).

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