Job description

Overview We are seeking an experienced engineering manager to lead a team of Site Reliability Engineers responsible for the availability, resiliency, security, and operational excellence of large-scale ad serving systems across hybrid on-premises and Azure environments. In this role, you will guide the design and operation of observability, automation, incident response, scaling, and failover capabilities; drive continuous improvement through blameless postmortems and infrastructure-as-code practices; and partner with machine learning, platform, and engineering teams to improve developer experience and accelerate reliable research-to-production workflows. 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.   Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction. Responsibilities • Team leadership: Lead a team of experienced SREs to ensure uptime, resiliency and fault tolerance of hybrid on-prem and Azure ad serving systems • Observability: Design and help maintain monitoring, alerting, and logging systems to provide real-time visibility into platform performance • Automation & Tooling: Lead building of automation for deployments, incident response, scaling, and failover in hybrid cloud/on-prem environments. • Incident Management: Lead on-call rotations, troubleshoot production issues, conduct blameless postmortems, and drive continuous improvements. • Security & Compliance: Ensure data privacy, compliance, and secure operations across serving environments. • Collaboration: Partner with ML engineers and platform teams to improve developer experience and accelerate research-to-production workflows. Qualifications Required 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. Preferred Qualifications: • Master'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, C++, C#, Java, JavaScript, or Python • OR Bachelor'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. • 4+ years managing Linux and open source systems. • 4+ years people management experience. • 6+ years experience in monitoring & observability tools (Grafana, Datadog, OpenTelemetry, etc.). • Experience migrating complex systems from on-prem to public cloud • Experience using Infrasturcture-as-code (e.g. Terraform, Bicep) to manage complex systems • Knowledge of CI/CD pipelines • Solid knowledge of distributed systems, networking, and storage. #MicrosoftAI Software Engineering M4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 - $261,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: careers.microsoft.com 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.

Requirements

Must-haves

Team leadership: Lead a team of experienced SREs to ensure uptime, resiliency and fault tolerance of hybrid on-prem and Azure ad serving systems
Observability: Design and help maintain monitoring, alerting, and logging systems to provide real-time visibility into platform performance
Automation & Tooling: Lead building of automation for deployments, incident response, scaling, and failover in hybrid cloud/on-prem environments.
Incident Management: Lead on-call rotations, troubleshoot production issues, conduct blameless postmortems, and drive continuous improvements.
Security & Compliance: Ensure data privacy, compliance, and secure operations across serving environments.
Collaboration: Partner with ML engineers and platform teams to improve developer experience and accelerate research-to-production workflows.
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.
4+ years managing Linux and open source systems.
4+ years people management experience.
6+ years experience in monitoring & observability tools (Grafana, Datadog, OpenTelemetry, etc.).
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Nice-to-haves

OR equivalent experience.
Experience migrating complex systems from on-prem to public cloud
Experience using Infrasturcture-as-code (e.g. Terraform, Bicep) to manage complex systems
Knowledge of CI/CD pipelines
Solid knowledge of distributed systems, networking, and storage.
#MicrosoftAI
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

azuremachine learningaimljavajavascriptpythonci/cd

Platform: eightfold
Effort: medium