Senior Software Engineer - Backend

Microsoft

Hybrid

Quick summary

Work type
Hybrid
Location
Salary
$119,800–$234,700 / yr
Posted
73 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $188k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 54% of similar roles. Most pay $163,416–$211,650 — the shaded band above. At the midpoint, this role pays about $177k versus about $188k 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 622 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 559 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer - Backend

As a Software Engineer at Microsoft AI, you will join the Advertiser Copilot team to build an innovative AI-powered assistant that helps advertisers create and manage their campaigns through a chat-based interface. Using Semantic Kernel, you will design and develop the core platform for intelligent interactions, integrate advanced GenAI models for creative asset generation, and build scalable workflows within a chat UI. You will collaborate closely with cross-functional teams including AI researchers and UX designers to ensure an intuitive user experience while maintaining high system reliability and performance. Essential skills include expertise in cloud technologies like Azure or AWS, Kubernetes, REST API development, and experience with large-scale, high-availability systems. This role offers the chance to work on cutting-edge Generative AI technology and drive significant impact within a rapidly growing area of Microsoft’s digital advertising platform.

What you'll do

  • Design and develop core platform using Semantic Kernel to enable intelligent interactions.
  • Integrate cutting-edge GenAI models for text, image, and video generation.
  • Build scalable and efficient AI-driven workflows within a chat-based UI.
  • Ensure high system reliability, security, and performance in production.
  • Lead technical discussions and develop design documents for complex issues.
  • Act as Designated Responsible Individual (DRI) to monitor system reliability.

What we're looking for

  • Experience designing and developing scalable platforms using Semantic Kernel or similar technology.
  • Proficiency in integrating cutting-edge GenAI models for text, image, and video generation.
  • Strong background in building efficient AI-driven workflows within chat-based UIs.
  • Solid experience with Azure/AWS and Kubernetes for container orchestration and deployment.
  • Expertise in REST API development for secure and scalable system communication.
  • Proven ability to build large-scale, high-availability systems in Kubernetes environments.

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