Software Engineering

Microsoft
Redmond, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 235K

Job location

San Francisco, United States of America

Tech stack

C
Java
JavaScript
Artificial Intelligence
Azure
Microsoft Online Services
C Sharp (Programming Language)
C++
Software Quality
Continuous Integration
Software Debugging
Python
Systems Development Life Cycle
Software Engineering
Information Technology

Job description

  • AI-driven development & code quality: Leverages AI across the SDLC and leads high-quality coding practices, ensuring secure, scalable, maintainable code through strong reviews, testing, and best practices.
  • Reliability & live-site excellence: Uses telemetry, debugging, and root cause analysis to proactively prevent issues, improve system health, and drive incident resolution as DRI.
  • Architecture & design leadership: Owns or influences complex system design and architecture, balancing performance, scalability, cost, and trade-offs.
  • Security, compliance & safe deployment: Ensures adherence to security, privacy, and compliance standards while driving automation, CI/CD, and safe, efficient deployments.
  • Collaboration & continuous improvement: Partners cross-functionally to deliver end-to-end solutions, incorporates customer insights, and continuously improves systems, processes, and engineering outcomes.

Requirements

Required/Minimum Qualifications:

  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.

Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter., * 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, C++, C#, Java, JavaScript, or Python.
  • OR equivalent experience.
  • 6+ years of experience in Azure technologies design, deployment, and support.
  • 4+ years of experience in Supply Chain operations, designing and maintaining. backend services supporting business requirements.

#W+DJOBS

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800.00 - $234,700.00 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 $160,200.00 - $261,000.00 per year.

About the company

Microsoft is a global technology company headquartered in Redmond, Washington. Our mission is to empower every person and every organization on the planet to achieve more. We develop, license, and support a wide range of software products, services, and devices that help individuals and businesses realize their full potential.

Our flagship products include the Microsoft 365 productivity cloud, Windows operating system, Azure cloud platform, and Dynamics 365 business applications. We are also a leader in areas such as artificial intelligence, cybersecurity, developer tools, and gaming through Xbox and Game Pass.

With operations in more than 190 countries and over 220,000 employees worldwide, Microsoft is committed to responsible innovation, inclusive economic growth, and sustainability. We work closely with governments, industries, and communities to ensure that technology serves the public good and helps address some of the world’s most pressing challenges.

As we celebrate our 50th anniversary in 2025, we continue to look forward—investing in AI, cloud, and quantum computing to shape the future of work, education, and society at large scale.

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