Develop and operate large-scale Microsoft 365 and Purview services. Build automation, telemetry pipelines, monitoring tools, and engineering solutions that improve reliability, performance, security, and customer experience. Troubleshoot production issues, optimize code, participate in reviews, and support regular on-call incident response.
Overview
Responsibilities
Qualifications
Help build and operate the trusted platforms that power Microsoft 365's most critical compliance, security, and governance services. As a member of our team, you will work at the intersection of large-scale cloud engineering, service reliability, and operational excellence, helping ensure that enterprise and government customers can rely on Microsoft services every day. You'll collaborate with engineers across Microsoft to solve complex technical challenges, improve resiliency, and drive innovation through automation, modern cloud technologies, and data-driven operations.
As a Software Engineer, you will help design, operate, and continuously improve large-scale Microsoft 365 and Purview services that support millions of users worldwide. You will partner with software engineers, service owners, and reliability teams to monitor service health, automate operational processes, investigate production issues, and implement engineering solutions that improve availability, performance, security, and customer experience.
This opportunity will allow you to accelerate your cloud engineering expertise, develop deep knowledge of distributed systems and large-scale service operations, and build advanced skills in automation, observability, incident management, and AI-powered operational tooling. You will gain end-to-end ownership experience across the service lifecycle while helping shape the future of reliability engineering through automation, data-driven operations, and AI-enabled solutions.
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
• You participate in onboarding, code/design reviews, and regular meetings with the engineering teams that develop and manage those products.
• You independently develop code or scripts that automate the performance of repetitive and easily scalable operations processes.
• You design, develop, and maintain telemetry pipelines and monitoring tools that detail operations metrics.
• You develop, test, troubleshoot, and implement changes to optimize code and improve products.
• You respond to incidents during regular on-call rotations.
Qualifications
Required/Minimum Qualifications
- Bachelor's Degree in Computer Science or related technical field AND 2+ 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:
Security Clearance Requirements: Candidates must be able 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:
- The successful candidate must have an active U.S. Government Top Secret Clearance with access to Sensitive Compartmented Information (SCI) based on a Single Scope Background Investigation (SSBI) with Polygraph. Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. Failure to maintain or obtain the appropriate U.S. Government clearance and/or customer screening requirements may result in employment action up to and including termination.
- Clearance Verification: This position requires successful verification of the stated security clearance to meet federal government customer requirements. You will be asked to provide clearance verification information prior to an offer of employment.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- Citizenship & Citizenship Verification: This position requires verification of U.S. citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local United States government agency customer and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizenship will be verified via a valid passport, or other approved documents, or verified US government Clearance
Preferred/Additional Qualifications
- Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 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.
Microsoft Mountain View, California, USA Office
1065 La Avenida, Mountain View, CA 94043, Mountain View, United States, 94043
Microsoft Palo Alto, California, USA Office
Palo Alto, United States
Microsoft San Francisco, California, USA Office
835 Market Street, Suite 700, San Francisco, CA 94103, San Francisco, United States, 94103
Microsoft San Jose, California, USA Office
San Jose, United States
Microsoft Sunnyvale, California, USA Office
Sunnyvale, United States
Similar Jobs
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
Designs and implements Azure cloud resiliency, migration, protection, recovery, and automation capabilities for sovereign and air-gapped environments. Owns customer-impacting technical issues, leads root-cause investigations, improves observability and incident readiness, and partners across engineering teams to strengthen service reliability and operational excellence for mission-critical government workloads.
Top Skills:
AutomationAzureCC#C++Cloud InfrastructureDisaster RecoveryDistributed SystemsJavaJavaScriptObservabilityPython
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
Develops secure, scalable software for Azure AI Platform services across air-gapped, sovereign, and commercial clouds. Responsibilities include coding, architecture, testing, deployment automation, security hardening, monitoring, incident response, reliability improvements, and on-call support. The engineer collaborates with partner teams, applies AI-assisted development practices, contributes to design and implementation plans, and ensures compliance, privacy, performance, and operational requirements for mission-critical AI infrastructure.
Top Skills:
Artificial IntelligenceAutomated TestingAzureCC#C++Ci/CdCloud PlatformsDockerJavaJavaScriptKubernetesPythonSecurity MonitoringTelemetry
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
Develops and operates secure, reliable software for Microsoft Government Clouds and Azure Confidential Computing environments. Responsibilities include application architecture, cloud-agnostic infrastructure development, automation, deployment validation, system monitoring, incident response, on-call support, postmortems, performance improvements, and collaboration with engineering and security teams. The role requires maintaining production reliability and meeting stringent government cloud security and compliance requirements.
Top Skills:
Azure Confidential ComputingAzure DevopsCC#C++Ci/CdGitJavaJavaScriptPowershellPython
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
