| Microsoft Careers

Microsoft

Hybrid

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 67% 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 1559 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1390 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

As a Senior Software Engineer on the Bing Multimedia team, you will be responsible for designing, building, and maintaining large-scale platforms that process and store billions of documents, ensuring high availability, low latency, cost efficiency, and superior quality. You will collaborate closely with scientists and engineers to enable rapid progress in computer vision and machine learning, while also supporting extensive experimentation and research. Your day-to-day tasks include leveraging modern AI-assisted engineering practices to enhance development velocity and code quality, adopting emerging technologies like hardware acceleration and advanced search techniques, and continuously evaluating system efficiency. You should have hands-on experience with distributed systems, large-scale data processing frameworks such as Hadoop and Spark, and a strong background in software design patterns and best practices. This role is crucial for delivering rich, insightful visual experiences that help users complete real-world tasks efficiently.

What you'll do

  • Design and build large-scale platforms for processing billions of documents efficiently.
  • Apply metrics-driven approach to define success criteria and measure impact of features.
  • Enable rapid progress by partnering with scientists and engineers in evolving tech landscapes.
  • Build services supporting large-scale experimentation and research, ensuring efficient resource use.
  • Continuously evaluate and adopt emerging technologies to enhance system efficiency and user experience.

What we're looking for

  • Extensive hands-on experience designing and operating distributed systems for performance, reliability, availability, and scalability.
  • Proficiency in large-scale data processing technologies such as Hadoop, Spark, Kafka, or similar systems.
  • Strong problem-solving skills with the ability to reason about complex system trade-offs.
  • Experience applying software design patterns and engineering best practices in evolving codebases.
  • Demonstrated ability to collaborate effectively across diverse teams including engineering, research, and partners.
  • Passion for delivering high-quality user experiences while continuously learning new technologies.
  • Expertise in driving engineering excellence at scale, balancing speed with quality, reliability, and operational rigor.

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