• Strategic Technical Leadership: Define and drive the architecture, roadmap, and execution strategy for a major ECS platform area or cross-team initiative with multi-release impact.

• Cross-Team Architecture Ownership: Broker complex architecture decisions across ECS, partner teams, PM, security, compliance, and service owners; create shared direction and durable technical alignment.

• Agentic-Native Platform Transformation: Lead the design and adoption of agentic-native engineering systems, including AI coding agents, MCP interfaces, SKILLs, intelligent automation, and AI-native engineering practices such as harness engineering, loop engineering, and evaluation systems.

• Technical Vision & Long-Term Direction: Translate ambiguous customer, business, security, reliability, and operational needs into clear technical bets, phased execution plans, and measurable outcomes.

• Platform Quality & Engineering Excellence: Define quality metrics, coding patterns, validation strategy, telemetry, observability, and operational readiness standards that raise the engineering bar across ECS.

• Complex Problem Resolution: Resolve the hardest technical and product-system problems in ECS, including issues spanning distributed systems, scale, reliability, security, compliance, and cross-service dependencies.

• Customer & Partner Influence: Build trusted technical relationships with major partner teams and use customer insights, production signals, and platform adoption data to improve ECS strategy and design.

• Organizational Impact: Change the momentum of existing plans where needed, identify higher-impact directions, and help teams pivot toward better customer and business outcomes.

• Mentorship & Capability Building: Mentor senior engineers and tech leads, build durable technical capability across the team, and create an inclusive engineering environment where people can do their best work.

• Operational Accountability: Ensure ECS platform investments are designed for production excellence, measurable customer impact, cost awareness, reliability, security, and long-term maintainability.

• 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, C++, C#, Java, JavaScript, or Python or equivalent experience.
• Proven experience leading architecture and delivery of large-scale cloud services, distributed systems, or platform infrastructure across multiple teams.
• Deep technical expertise in service architecture, reliability engineering, distributed systems, telemetry, security, scalability, and production operations.
• Demonstrated ability to lead complex cross-team initiatives, create clarity in ambiguous problem spaces, and influence senior technical stakeholders.
• Solid coding and design judgment, with a track record of delivering simple, maintainable, high-quality technical solutions.
• Experience adopting or leading AI-assisted development, agentic workflows, automation platforms, or intelligent engineering systems.

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.

• Strategic Technical Leadership: Define and drive the architecture, roadmap, and execution strategy for a major ECS platform area or cross-team initiative with multi-release impact.

• Cross-Team Architecture Ownership: Broker complex architecture decisions across ECS, partner teams, PM, security, compliance, and service owners; create shared direction and durable technical alignment.

• Agentic-Native Platform Transformation: Lead the design and adoption of agentic-native engineering systems, including AI coding agents, MCP interfaces, SKILLs, intelligent automation, and AI-native engineering practices such as harness engineering, loop engineering, and evaluation systems.

• Technical Vision & Long-Term Direction: Translate ambiguous customer, business, security, reliability, and operational needs into clear technical bets, phased execution plans, and measurable outcomes.

• Platform Quality & Engineering Excellence: Define quality metrics, coding patterns, validation strategy, telemetry, observability, and operational readiness standards that raise the engineering bar across ECS.

• Complex Problem Resolution: Resolve the hardest technical and product-system problems in ECS, including issues spanning distributed systems, scale, reliability, security, compliance, and cross-service dependencies.

• Customer & Partner Influence: Build trusted technical relationships with major partner teams and use customer insights, production signals, and platform adoption data to improve ECS strategy and design.

• Organizational Impact: Change the momentum of existing plans where needed, identify higher-impact directions, and help teams pivot toward better customer and business outcomes.

• Mentorship & Capability Building: Mentor senior engineers and tech leads, build durable technical capability across the team, and create an inclusive engineering environment where people can do their best work.

• Operational Accountability: Ensure ECS platform investments are designed for production excellence, measurable customer impact, cost awareness, reliability, security, and long-term maintainability.

• 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, C++, C#, Java, JavaScript, or Python or equivalent experience.
• Proven experience leading architecture and delivery of large-scale cloud services, distributed systems, or platform infrastructure across multiple teams.
• Deep technical expertise in service architecture, reliability engineering, distributed systems, telemetry, security, scalability, and production operations.
• Demonstrated ability to lead complex cross-team initiatives, create clarity in ambiguous problem spaces, and influence senior technical stakeholders.
• Solid coding and design judgment, with a track record of delivering simple, maintainable, high-quality technical solutions.
• Experience adopting or leading AI-assisted development, agentic workflows, automation platforms, or intelligent engineering systems.

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.

• Technical Leadership: Serve as a technical lead for a feature crew or major ECS platform area, driving architecture, execution strategy, design quality, and delivery outcomes.

• Strategic Feature Ownership: Own high-impact ECS capabilities across multiple releases, building roadmaps, evaluating progress, and ensuring investments deliver measurable product, customer, and business value.

• Complex Problem Solving: Scope and resolve technically complex and ambiguous problems requiring cross-team alignment, architectural judgment, and sustained execution.

• Agentic-Native Engineering: Lead adoption of AI-assisted and agentic development practices across the crew, including coding agents, MCP-based automation, SKILLs, automated validation, operational intelligence, and modern AI-native engineering practices and evaluation-driven development.

• Architecture & Design Quality: Develop elegant, resilient, and maintainable designs; improve others’ design specs; ensure solutions align with long-term ECS architecture.

• Reliability & Observability: Define telemetry, health signals, validation strategy, dashboards, and operational readiness criteria for major ECS capabilities.

• Engineering Lifecycle Improvements: Improve the team’s engineering lifecycle, including design reviews, test strategy, CI/CD, incident learnings, release quality, and production readiness.

• Customer & Partner Engagement: Represent ECS in technical discussions with partner teams and customers, translate pain points into platform improvements, and drive alignment across teams.

• Mentorship & Culture: Mentor engineers, model strong engineering practices, improve team culture, and help others increase technical depth and execution quality.

• Risk Management: Identify problems several steps ahead, manage dependencies, make informed tradeoffs, and know when to ship, hold, pivot, or escalate.

• 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. 
• Proven experience leading design and delivery of complex cloud services, distributed systems, or large-scale platform capabilities.
• Solid proficiency in one or more programming languages such as C#, Java, Python, TypeScript, Go, or Rust.
• Experience with production service operations, telemetry, reliability engineering, incident analysis, and service quality improvements.
• Demonstrated ability to lead technical discussions, mentor engineers, and influence decisions across teams.
• Experience working with AI-assisted development, agentic workflows, automation frameworks, or intelligent engineering tools.

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.

AI-Native Systems, Storage & Data Platform Architecture

We are seeking a highly technical Principal Software Engineer to drive the next generation of AI-native architecture across critical storage, database, and distributed system components. This role will lead the modernization and transformation of foundational platform technologies that power large-scale cloud services and AI workloads.

The ideal candidate possesses deep expertise in systems programming, storage architecture, distributed databases, and high-performance service design. They combine strong critical thinking with an AI-native mindset, leveraging AI not only as a productivity tool, but as a catalyst to fundamentally rethink system architecture, engineering workflows, performance optimization, reliability, and operational excellence.

This role requires both hands-on technical depth and strategic influence, shaping technologies that operate at hyperscale while delivering industry-leading reliability, scalability, efficiency, and latency characteristics.

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.

System Architecture & Platform Leadership

• Lead the architecture, design, and evolution of large-scale distributed storage, database, and data platform systems.

• Drive modernization of critical platform components to support next-generation AI and Copilot workloads.

• Re-architect legacy services and infrastructure using AI-native design principles.

• Define long-term technical strategy and architectural direction across multiple services and teams.

• Identify and eliminate architectural bottlenecks impacting scalability, reliability, performance, and operational efficiency.

Systems Programming & Performance Engineering

• Design and implement highly efficient systems-level software in languages such as C++, Rust, C#, Go, or similar.

• Drive end-to-end performance optimization across storage engines, networking, caching, concurrency control, and data access layers.

• Solve complex challenges involving high concurrency, low latency, throughput optimization, and resource efficiency.

• Lead root-cause analysis and resolution of difficult production issues involving distributed systems and storage infrastructure.

• Establish engineering standards and best practices for performance-critical software development.

Storage & Database Innovation

• Design and optimize storage engines, database architectures, replication technologies, indexing systems, and data management frameworks.

• Lead innovation in areas such as:

  • High availability and disaster recovery

  • Data durability and consistency

  • Replication and synchronization

  • Metadata management

  • Query optimization

  • Storage efficiency and cost optimization

  • Intelligent caching and tiering

• Drive architectural improvements that enable large-scale AI and retrieval-driven workloads.

AI-Native Transformation

• Champion AI-native engineering practices across architecture, development, testing, and operations.

• Apply AI-assisted approaches to system design, performance analysis, reliability engineering, and operational automation.

• Identify opportunities to redesign products and platforms around emerging AI capabilities instead of incrementally enhancing legacy models.

• Build frameworks and workflows that integrate AI into engineering decision-making and operational management.

• Influence the organization’s AI transformation strategy through thought leadership and technical innovation.

• 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, C++, C#, Java, JavaScript, or Python or equivalent experience.
• Extensive industry experience building large-scale cloud services, distributed systems, storage platforms, or database systems.
• Solid understanding of operating systems, memory management, threading, synchronization, networking, and I/O subsystems.
• Expert knowledge of distributed system design and architecture.
• Proven experience designing or operating large-scale storage and database platforms.
• Solid understanding of storage engines, database internals, replication mechanisms, transaction processing, consistency models, fault tolerance, high availability architectures, and data durability strategies.
• Experience with large-scale data platforms supporting mission-critical workloads.
• Demonstrated success building systems that operate at hyperscale.
• Experience designing and supporting high-concurrency architectures, low-latency services, and high-throughput systems, with expertise in service resiliency, performance tuning, capacity management, and production operations.
• Ability to diagnose and resolve problems across complex distributed environments.
• Solid interest and demonstrated experience applying AI to engineering workflows and product architectures.
• Ability to critically evaluate emerging AI technologies and identify transformational opportunities.
• Experience using AI-assisted development, design, diagnostics, automation, or operational workflows.
• Passion for reimagining platforms and engineering systems through AI-driven innovation.
• Exceptional analytical and problem-solving skills.
• Ability to navigate ambiguity and drive clarity in highly complex technical domains.
• Solid architecture review and design evaluation skills.
• Proven influence across organizations without direct authority.
• Excellent communication and collaboration skills with engineers, architects, product leaders, and executives.

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:

AI-Native Systems, Storage & Data Platform Architecture

We are seeking a highly technical Principal Software Engineer to drive the next generation of AI-native architecture across critical storage, database, and distributed system components. This role will lead the modernization and transformation of foundational platform technologies that power large-scale cloud services and AI workloads.

The ideal candidate possesses deep expertise in systems programming, storage architecture, distributed databases, and high-performance service design. They combine strong critical thinking with an AI-native mindset, leveraging AI not only as a productivity tool, but as a catalyst to fundamentally rethink system architecture, engineering workflows, performance optimization, reliability, and operational excellence.

This role requires both hands-on technical depth and strategic influence, shaping technologies that operate at hyperscale while delivering industry-leading reliability, scalability, efficiency, and latency characteristics.

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.

System Architecture & Platform Leadership

• Lead the architecture, design, and evolution of large-scale distributed storage, database, and data platform systems.

• Drive modernization of critical platform components to support next-generation AI and Copilot workloads.

• Re-architect legacy services and infrastructure using AI-native design principles.

• Define long-term technical strategy and architectural direction across multiple services and teams.

• Identify and eliminate architectural bottlenecks impacting scalability, reliability, performance, and operational efficiency.

Systems Programming & Performance Engineering

• Design and implement highly efficient systems-level software in languages such as C++, Rust, C#, Go, or similar.

• Drive end-to-end performance optimization across storage engines, networking, caching, concurrency control, and data access layers.

• Solve complex challenges involving high concurrency, low latency, throughput optimization, and resource efficiency.

• Lead root-cause analysis and resolution of difficult production issues involving distributed systems and storage infrastructure.

• Establish engineering standards and best practices for performance-critical software development.

Storage & Database Innovation

• Design and optimize storage engines, database architectures, replication technologies, indexing systems, and data management frameworks.

• Lead innovation in areas such as:

  • High availability and disaster recovery

  • Data durability and consistency

  • Replication and synchronization

  • Metadata management

  • Query optimization

  • Storage efficiency and cost optimization

  • Intelligent caching and tiering

• Drive architectural improvements that enable large-scale AI and retrieval-driven workloads.

AI-Native Transformation

• Champion AI-native engineering practices across architecture, development, testing, and operations.

• Apply AI-assisted approaches to system design, performance analysis, reliability engineering, and operational automation.

• Identify opportunities to redesign products and platforms around emerging AI capabilities instead of incrementally enhancing legacy models.

• Build frameworks and workflows that integrate AI into engineering decision-making and operational management.

• Influence the organization’s AI transformation strategy through thought leadership and technical innovation.

• 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, C++, C#, Java, JavaScript, or Python or equivalent experience.
• Extensive industry experience building large-scale cloud services, distributed systems, storage platforms, or database systems.
• Solid understanding of operating systems, memory management, threading, synchronization, networking, and I/O subsystems.
• Expert knowledge of distributed system design and architecture.
• Proven experience designing or operating large-scale storage and database platforms.
• Solid understanding of storage engines, database internals, replication mechanisms, transaction processing, consistency models, fault tolerance, high availability architectures, and data durability strategies.
• Experience with large-scale data platforms supporting mission-critical workloads.
• Demonstrated success building systems that operate at hyperscale.
• Experience designing and supporting high-concurrency architectures, low-latency services, and high-throughput systems, with expertise in service resiliency, performance tuning, capacity management, and production operations.
• Ability to diagnose and resolve problems across complex distributed environments.
• Solid interest and demonstrated experience applying AI to engineering workflows and product architectures.
• Ability to critically evaluate emerging AI technologies and identify transformational opportunities.
• Experience using AI-assisted development, design, diagnostics, automation, or operational workflows.
• Passion for reimagining platforms and engineering systems through AI-driven innovation.
• Exceptional analytical and problem-solving skills.
• Ability to navigate ambiguity and drive clarity in highly complex technical domains.
• Solid architecture review and design evaluation skills.
• Proven influence across organizations without direct authority.
• Excellent communication and collaboration skills with engineers, architects, product leaders, and executives.

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:

We are looking for a highly motivated and technically strong Software Engineer who is passionate about building intelligent, scalable, and resilient systems at the heart of Microsoft 365’s infrastructure. You will join the Substrate Unified Fabric team, which is driving the modernization of cloud routing through RouteResolutionService—a core platform component designed to deliver highly accurate, efficient, and secure routing for Microsoft 365 workloads across global infrastructure.

About the Team: The SURF (Substrate Unified Routing Fabric) team is responsible for the Substrate Routing Platform, which routes trillions of HTTP requests daily with industry-leading accuracy and minimal latency. With the MIRA (M365 Integrated Routing Architecture) initiative, SURF now handles traffic for major M365 workloads like Teams and SharePoint Online, providing enhanced routing, resilience, and security. The team is known for technical excellence, a culture of innovation, and a commitment to operational impact at massive scale. 

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.

• Design and implement features in RouteResolutionService to support different scenarios in M365 including Copilot. 

• Build distributed, highly available and resilient systems.

• Work with services spanning thousands of servers, doing tens of billions of transactions and serving hundreds of millions of users.

• Drive technical excellence through code reviews, architecture design, and mentoring of other engineers.

• Build Agentic-loop to accelerate development

• 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.

We are looking for a highly motivated and technically strong Software Engineer who is passionate about building intelligent, scalable, and resilient systems at the heart of Microsoft 365’s infrastructure. You will join the Substrate Unified Fabric team, which is driving the modernization of cloud routing through RouteResolutionService—a core platform component designed to deliver highly accurate, efficient, and secure routing for Microsoft 365 workloads across global infrastructure.

About the Team: The SURF (Substrate Unified Routing Fabric) team is responsible for the Substrate Routing Platform, which routes trillions of HTTP requests daily with industry-leading accuracy and minimal latency. With the MIRA (M365 Integrated Routing Architecture) initiative, SURF now handles traffic for major M365 workloads like Teams and SharePoint Online, providing enhanced routing, resilience, and security. The team is known for technical excellence, a culture of innovation, and a commitment to operational impact at massive scale. 

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.

• Design and implement features in RouteResolutionService to support different scenarios in M365 including Copilot. 

• Build distributed, highly available and resilient systems.

• Work with services spanning thousands of servers, doing tens of billions of transactions and serving hundreds of millions of users.

• Drive technical excellence through code reviews, architecture design, and mentoring of other engineers.

• Build Agentic-loop to accelerate development

• 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.

Microsoft’s Observability & Intelligent Cloud team is reimagining how large-scale cloud services stay reliable. We build intelligent systems that help prevent incidents, detect failures earlier, accelerate diagnosis and mitigation, and reduce operational effort across Microsoft services.  

Our work spans the full reliability lifecycle—from telemetry and anomaly detection to AI-assisted diagnosis, safe automation, and intuitive operational experiences. You will help create secure, scalable platforms that protect customers and enable engineering teams to operate services with greater speed and confidence.  

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.

• Design, build, test, deploy, and operate reliable backend services, APIs, data pipelines, and automation workflows. 

• Create intelligent capabilities that turn large volumes of operational data into timely, actionable insights for engineering teams. 

• Apply software engineering and AI techniques to improve anomaly detection, alert correlation, incident diagnosis, and safe mitigation. 

• Investigate production issues, identify root causes, and turn lessons from live-service events into durable product and engineering improvements. 

• Partner with service teams, product managers, and engineers to understand reliability challenges and translate them into scalable solutions. 

• Improve the security, observability, performance, quality, and maintainability of the services you own. 

• Contribute to technical designs, documentation, operational readiness, and shared engineering practices. 

• 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. 
• Solid experience designing, building, and operating distributed systems, cloud services, or large-scale backend platforms. 
• Solid technical depth in service architecture, reliability, debugging, performance, security, and operational excellence. 
• Proven ability to lead ambiguous technical work from problem framing through design, execution, deployment, and production support. 
• Solid cross-team collaboration and communication skills, with the ability to influence technical decisions across partner teams. 
• Experience collaborating across teams and communicating technical concepts clearly to engineering and product stakeholders.  

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.

Microsoft’s Observability & Intelligent Cloud team is reimagining how large-scale cloud services stay reliable. We build intelligent systems that help prevent incidents, detect failures earlier, accelerate diagnosis and mitigation, and reduce operational effort across Microsoft services.  

Our work spans the full reliability lifecycle—from telemetry and anomaly detection to AI-assisted diagnosis, safe automation, and intuitive operational experiences. You will help create secure, scalable platforms that protect customers and enable engineering teams to operate services with greater speed and confidence.  

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.

• Design, build, test, deploy, and operate reliable backend services, APIs, data pipelines, and automation workflows. 

• Create intelligent capabilities that turn large volumes of operational data into timely, actionable insights for engineering teams. 

• Apply software engineering and AI techniques to improve anomaly detection, alert correlation, incident diagnosis, and safe mitigation. 

• Investigate production issues, identify root causes, and turn lessons from live-service events into durable product and engineering improvements. 

• Partner with service teams, product managers, and engineers to understand reliability challenges and translate them into scalable solutions. 

• Improve the security, observability, performance, quality, and maintainability of the services you own. 

• Contribute to technical designs, documentation, operational readiness, and shared engineering practices. 

• 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. 
• Solid experience designing, building, and operating distributed systems, cloud services, or large-scale backend platforms. 
• Solid technical depth in service architecture, reliability, debugging, performance, security, and operational excellence. 
• Proven ability to lead ambiguous technical work from problem framing through design, execution, deployment, and production support. 
• Solid cross-team collaboration and communication skills, with the ability to influence technical decisions across partner teams. 
• Experience collaborating across teams and communicating technical concepts clearly to engineering and product stakeholders.  

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.