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Principal Software Engineer

Microsoft

Principal Software Engineer

Microsoft

United States, Washington, Redmond

·

On-site

·

Full-time

·

1w ago

Overview We are looking for a Principal Software Engineer to join our Microsoft AI – Copilot Discover – Knowledge Agent backend platform team, contributing to projects related to agentic vertical content generation pipelines, AI model serving pipeline, data ingestion, caching, and serving. This platform powers backend support for verticals such as weather, finance, sports, and potentially others, delivering content across Microsoft canvases including Copilot, Edge, MSN, and Windows, reaching over 1B+ customers globally. The ideal candidate is passionate about backend engineering and skilled at building highly distributed, high-volume, and reliable service platforms in the cloud. Experience with cloud storage, distributed task orchestration, and large-scale data processing is required, with proficiency on Azure or equivalent technologies on AWS and GCP (e.g., S3, Cloud Storage, Kafka, Kubernetes). You will provide technical leadership, drive engineering excellence, and deliver robust and scalable solutions that directly impact global users, while continually improving platform KPIs. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

  • Responsibilities- Design, develop, test, and deploy data ingestion, pre/post processing, caching, and serving pipelines.
  • Architect and implement scalable backend services with solid reliability and performance guarantees.
  • Deploy algorithms and ML/DL models using containers and schedulers.
  • Collaborate with scientists, engineers, and product managers to translate business requirements into technical solutions.
  • Provide technical leadership and mentorship to peers.
  • Ensure code quality, performance, reliability, and scalability of platform components.
  • Troubleshoot and resolve issues in production and development environments.
  • Participate in DRI on-call duties.

Qualifications:

Required Qualifications:

  • Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to C#, .NET, or equivalents (e.g., Java, Go, Node.js)OR equivalent experience.
  • 5+ years of direct experience delivering, scaling, and owning highly successful and innovative multi-tiered distributed services.
  • 5+ years experience improving service availability and robustness.
  • 5+ years of hands-on experience with cloud storage, distributed task orchestration, and large-scale data processing systems on major cloud platforms (e.g., AWS S3, GCP Cloud Storage, Kafka, Kubernetes, Azure).

Preferred Qualifications:

  • Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C#, .NET, or equivalents (e.g., Java, Go, Node.js)OR Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C#, .NET, or equivalents (e.g., Java, Go, Node.js)

  • OR equivalent experience.

  • Experience working through full product cycles from initial design to final delivery.

  • Hands-on experience with deep learning model deployment and performance tuning.

  • Familiarity with DevOps practices, CI/CD, and infrastructure-as-code tools.

  • Knowledge of authentication and authorization mechanisms (e.g., AAD, certificates).

  • Solid communication and leadership skills with a track record of cross-team collaboration.

    #MicrosoftAI #Tech Leadership #Cloud Computing #Distributed Systems #Cloud Infrastructure

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

Microsoft

A software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.

10,001+

Employees

Redmond

Headquarters

$3000B

Valuation

Reviews

3.8

5 reviews

Work Life Balance

4.1

Compensation

4.3

Culture

3.4

Career

3.2

Management

3.0

65%

Recommend to a Friend

Pros

Excellent compensation and benefits package

Four-day workweek with improved work-life balance

Supportive managers and teams

Cons

High-pressure environment causing anxiety

Unprofessional interview processes

Limited creative work opportunities

Salary Ranges

5,571 data points

Junior/L3

Mid/L4

Junior/L3 · Advertising Client Success

2 reports

$163,358

total / year

Base

$141,875

Stock

-

Bonus

-

$163,358

$163,358

Interview Experience

7 interviews

Difficulty

3.7

/ 5

Duration

14-28 weeks

Offer Rate

14%

Experience

Positive 14%

Neutral 29%

Negative 57%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Technical Interview

5

Onsite/Virtual Interviews

6

Final Round

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience