Software Engineer II- (GCC‑High/DoD)
Microsoft
•
Redmond, WA
0
0
0
0
Not Applicable
Posted March 30, 2026
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Responsibilities
Commitments
Responsibilities
- Design, implement, test, deploy, and operate large‑scale, distributed backend systems that power AI‑driven insights and analytics for Microsoft 365 Copilot and Viva Insights.
- Apply generative AI and ML techniques to deliver intelligent, personalized experiences that help customers understand and accelerate their AI transformation.
- Act as an embedded engineer for government cloud environments (GCC‑High / DoD), executing onboarding, deployments, troubleshooting, and operational activities with the same ownership and rigor as Core Services full‑time engineers.
- Build, manage, and maintain Azure infrastructure across environments, including compute, networking, storage, identity, certificates, and service dependencies, while adapting engineering practices to security‑ and compliance‑constrained environments.
- Collaborate across disciplines (product, platform, infrastructure, security, monitoring, compliance) to define technical requirements, design robust APIs, and unblock cross‑service dependencies—particularly in government cloud scenarios.
- Drive engineering excellence and service reliability through strong design, testing, observability, proactive monitoring, and deep diagnostics using logs, metrics, telemetry, and Kusto (KQL).
- Contribute to team culture by mentoring peers, sharing knowledge, and fostering an inclusive, growth-oriented environment.
- Continuously learn and adapt to new technologies, patterns, and best practices in AI, distributed systems, and cloud-native development.
Commitments
Continuously learn and adapt to new technologies, patterns, and best practices in AI, distributed systems, and cloud-native development.
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.
Eligibility & Security Requirements
U.S. citizenship required.
Role must be eligible to obtain and maintain required U.S.
Government personnel screenings, including CJIS Security Screening (as applicable) and DoD IT‑2 suitability for access to GCC‑High and Department of Defense cloud environments.
Prior IT‑2 approval and hands‑on experience supporting GCC‑High or DoD environments are strongly preferred.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Not Met Priorities
What still needs stronger evidence
Requirements
- OR equivalent experience.
- Experience applying AI/ML techniques or working with generative AI systems in production environments.
- Familiarity with modern version control systems like Git and agile development methodologies.
- Hands‑on experience with Azure cloud services, including compute, networking, storage, identity, and resource governance.
- Experience designing and maintaining infrastructure‑as‑code (e.g., ARM/Bicep or equivalent) and CI/CD pipelines, including YAML‑based build and release definitions, deployment automation, and troubleshooting deployment failures.
- Experience supporting live‑site operations, including incident triage, root cause analysis, and driving issues to resolution.
- 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.
- U.S. citizenship required.
- Role must be eligible to obtain and maintain required U.S.
- Government personnel screenings, including CJIS Security Screening (as applicable) and DoD IT‑2 suitability for access to GCC‑High and Department of Defense cloud environments.
Preferred Skills
- Prior IT‑2 approval and hands‑on experience supporting GCC‑High or DoD environments are strongly preferred.
- Demonstrated experience designing and implementing large-scale distributed systems or cloud platforms.
- Strong collaboration and communication skills to work effectively across teams and disciplines.
- Prior experience with GCC, GCC‑High, DoD clouds or environments with strict compliance, auditing, or access controls.
- Familiarity with EV2 or similar large‑scale deployment orchestration systems.
- #DPG #DPGHiring #VivaInsights
Education
- (Not required) – 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
- (Not required) – OR equivalent experience.
Overview
Microsoft Viva Insights (also known as Copilot Analytics) empowers organizations to thrive in the era of AI-powered work. As part of Microsoft 365 Copilot, it delivers privacy-protected, data-driven insights through a unified experience that helps organizations maximize the impact of their workforce by understanding and accelerating the adoption of Copilot and Agents.
Our team builds this platform using cutting-edge AI and large-scale data systems to surface actionable insights from collaboration and business signals. We’re hiring a Backend Software Engineer II to help deliver intuitive, AI-powered experiences that enable customers to understand work patterns, optimize collaboration, and realize potential by unlocking the full value of Microsoft Copilot. We also use generative AI extensively in our own development process to move fast, learn continuously, and deliver customer value at scale.
In the fast-moving world of AI innovation, we operate with a startup mindset—agile, customer-obsessed, and deeply collaborative. Our inclusive, growth-oriented culture is grounded in Microsoft’s mission to empower every person and organization on the planet to achieve more.
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, implement, test, deploy, and operate large‑scale, distributed backend systems that power AI‑driven insights and analytics for Microsoft 365 Copilot and Viva Insights.
Apply generative AI and ML techniques to deliver intelligent, personalized experiences that help customers understand and accelerate their AI transformation.
Act as an embedded engineer for government cloud environments (GCC‑High / DoD), executing onboarding, deployments, troubleshooting, and operational activities with the same ownership and rigor as Core Services full‑time engineers.
Build, manage, and maintain Azure infrastructure across environments, including compute, networking, storage, identity, certificates, and service dependencies, while adapting engineering practices to security‑ and compliance‑constrained environments.
Collaborate across disciplines (product, platform, infrastructure, security, monitoring, compliance) to define technical requirements, design robust APIs, and unblock cross‑service dependencies—particularly in government cloud scenarios.
Drive engineering excellence and service reliability through strong design, testing, observability, proactive monitoring, and deep diagnostics using logs, metrics, telemetry, and Kusto (KQL).
Contribute to team culture by mentoring peers, sharing knowledge, and fostering an inclusive, growth-oriented environment.
Continuously learn and adapt to new technologies, patterns, and best practices in AI, distributed systems, and cloud-native development.
Qualifications
Required 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.
Experience applying AI/ML techniques or working with generative AI systems in production environments.
Familiarity with modern version control systems like Git and agile development methodologies.
Hands‑on experience with Azure cloud services, including compute, networking, storage, identity, and resource governance.
Experience designing and maintaining infrastructure‑as‑code (e.g., ARM/Bicep or equivalent) and CI/CD pipelines, including YAML‑based build and release definitions, deployment automation, and troubleshooting deployment failures.
Experience supporting live‑site operations, including incident triage, root cause analysis, and driving issues to resolution. 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.
Eligibility & Security Requirements
U.S. citizenship required. Role must be eligible to obtain and maintain required U.S. Government personnel screenings, including CJIS Security Screening (as applicable) and DoD IT‑2 suitability for access to GCC‑High and Department of Defense cloud environments. Prior IT‑2 approval and hands‑on experience supporting GCC‑High or DoD environments are strongly preferred.
Preferred Qualifications
Demonstrated experience designing and implementing large-scale distributed systems or cloud platforms.
Strong collaboration and communication skills to work effectively across teams and disciplines.
Prior experience with GCC, GCC‑High, DoD clouds or environments with strict compliance, auditing, or access controls.
Familiarity with EV2 or similar large‑scale deployment orchestration systems.
#DPG #DPGHiring #VivaInsights
Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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 Viva Insights (also known as Copilot Analytics) empowers organizations to thrive in the era of AI-powered work. As part of Microsoft 365 Copilot, it delivers privacy-protected, data-driven insights through a unified experience that helps organizations maximize the impact of their workforce by understanding and accelerating the adoption of Copilot and Agents.
Our team builds this platform using cutting-edge AI and large-scale data systems to surface actionable insights from collaboration and business signals. We’re hiring a Backend Software Engineer II to help deliver intuitive, AI-powered experiences that enable customers to understand work patterns, optimize collaboration, and realize potential by unlocking the full value of Microsoft Copilot. We also use generative AI extensively in our own development process to move fast, learn continuously, and deliver customer value at scale.
In the fast-moving world of AI innovation, we operate with a startup mindset—agile, customer-obsessed, and deeply collaborative. Our inclusive, growth-oriented culture is grounded in Microsoft’s mission to empower every person and organization on the planet to achieve more.
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, implement, test, deploy, and operate large‑scale, distributed backend systems that power AI‑driven insights and analytics for Microsoft 365 Copilot and Viva Insights.
Apply generative AI and ML techniques to deliver intelligent, personalized experiences that help customers understand and accelerate their AI transformation.
Act as an embedded engineer for government cloud environments (GCC‑High / DoD), executing onboarding, deployments, troubleshooting, and operational activities with the same ownership and rigor as Core Services full‑time engineers.
Build, manage, and maintain Azure infrastructure across environments, including compute, networking, storage, identity, certificates, and service dependencies, while adapting engineering practices to security‑ and compliance‑constrained environments.
Collaborate across disciplines (product, platform, infrastructure, security, monitoring, compliance) to define technical requirements, design robust APIs, and unblock cross‑service dependencies—particularly in government cloud scenarios.
Drive engineering excellence and service reliability through strong design, testing, observability, proactive monitoring, and deep diagnostics using logs, metrics, telemetry, and Kusto (KQL).
Contribute to team culture by mentoring peers, sharing knowledge, and fostering an inclusive, growth-oriented environment.
Continuously learn and adapt to new technologies, patterns, and best practices in AI, distributed systems, and cloud-native development.
Qualifications
Required 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.
Experience applying AI/ML techniques or working with generative AI systems in production environments.
Familiarity with modern version control systems like Git and agile development methodologies.
Hands‑on experience with Azure cloud services, including compute, networking, storage, identity, and resource governance.
Experience designing and maintaining infrastructure‑as‑code (e.g., ARM/Bicep or equivalent) and CI/CD pipelines, including YAML‑based build and release definitions, deployment automation, and troubleshooting deployment failures.
Experience supporting live‑site operations, including incident triage, root cause analysis, and driving issues to resolution. 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.
Eligibility & Security Requirements
U.S. citizenship required. Role must be eligible to obtain and maintain required U.S. Government personnel screenings, including CJIS Security Screening (as applicable) and DoD IT‑2 suitability for access to GCC‑High and Department of Defense cloud environments. Prior IT‑2 approval and hands‑on experience supporting GCC‑High or DoD environments are strongly preferred.
Preferred Qualifications
Demonstrated experience designing and implementing large-scale distributed systems or cloud platforms.
Strong collaboration and communication skills to work effectively across teams and disciplines.
Prior experience with GCC, GCC‑High, DoD clouds or environments with strict compliance, auditing, or access controls.
Familiarity with EV2 or similar large‑scale deployment orchestration systems.
#DPG #DPGHiring #VivaInsights
Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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.