Job Description

Locations

• Redmond, WA, US

Salary

Skills Required

• coding in languages includingintermediate
• cloud development principlesintermediate
• Azure AI Foundryintermediate
• Azure PaaS servicesintermediate

Required Qualifications

• 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. (experience, 6 years)

Preferred Qualifications

• 8+ years of experience as a software engineer building commercial software and proven track record of successful software products & services. (experience, 8 years)
• 4+ years people management experience. (experience, 4 years)
• 8+ years of experience as a software engineer building commercial software and proven track record of successful software products & services. (experience, 8 years)
• 4+ years of experience in cloud development principles and patterns, particularly loosely coupled architectures and micro-services, DevOps model. (experience, 4 years)
• 4+ years of experience in cloud development principles and patterns, particularly loosely coupled architectures and micro-services, DevOps model. (experience, 4 years)
• Demonstrated ability to harness next-generation AI development tools like GitHub Copilot, Copilot CLI/SDK, Claude CLI, or equivalents to transform the SDLC by building agents, plugins, skills, and MCP servers that drive automation and engineering excellence at scale. (experience)
• Demonstrated experience with Azure AI Foundry, Microsoft Copilot Studio, agentic AI architectures, and intelligent automation patterns, including designing and deploying AI agents, multi-agent solution and enterprise AI workflows. (experience)
• Technical experience and knowledge in Enterprise-scale cloud infrastructure, architecture designs & proficiency in Azure PaaS services and cloud-native platforms, including:App Platform & Compute: Web Apps, Function Apps, AKS, Azure Container AppsData & Databases: Azure SQL, Cosmos DB, Azure Synapse, and NoSQL databases (experience)
• Software Engineering M5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 per year. (experience)
• 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 (experience)
• This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. (experience)

Responsibilities

• Lead, inspire, and grow a diverse, inclusive, and high-performing engineering team, fostering an environment where individuals thrive and deliver their best work in an AI-driven world.
• Lead, inspire, and grow a diverse, inclusive, and high-performing engineering team, fostering an environment where individuals thrive and deliver their best work in an AI-driven world.
• Drive clarity, alignment, and execution across engineering teams and partner organizations by establishing a shared vision, clear priorities, and strong cross-functional collaboration.
• Drive clarity, alignment, and execution across engineering teams and partner organizations by establishing a shared vision, clear priorities, and strong cross-functional collaboration.
• Define and communicate the technical and product strategy for the team, ensuring engineering investments align with customer needs, business outcomes, and long-term platform goals.
• Define and communicate the technical and product strategy for the team, ensuring engineering investments align with customer needs, business outcomes, and long-term platform goals.
• Create accountability and operational excellence through well-defined goals, effective decision-making frameworks, and execution rhythms that enable predictable, high-quality delivery.
• Create accountability and operational excellence through well-defined goals, effective decision-making frameworks, and execution rhythms that enable predictable, high-quality delivery.
• Build a culture of ownership, innovation, inclusion, and continuous learning by setting high standards, providing regular feedback, and investing in team growth and development.
• Build a culture of ownership, innovation, inclusion, and continuous learning by setting high standards, providing regular feedback, and investing in team growth and development.
• Lead the adoption of AI‑Native Engineering by embedding AI‑first development practices, agentic workflows, and strong software engineering fundamentals across the software lifecycle to accelerate innovation, improve product quality, increase engineering productivity, and deliver greater customer impact.
• Lead the adoption of AI‑Native Engineering by embedding AI‑first development practices, agentic workflows, and strong software engineering fundamentals across the software lifecycle to accelerate innovation, improve product quality, increase engineering productivity, and deliver greater customer impact.
• Foster a customer-obsessed mindset by leveraging customer insights and developer feedback to drive innovation and deliver meaningful platform improvements.
• Foster a customer-obsessed mindset by leveraging customer insights and developer feedback to drive innovation and deliver meaningful platform improvements.
• Establish strong operational ownership through clear service accountability, live site excellence, proactive incident management, and continuous improvement practices.
• Establish strong operational ownership through clear service accountability, live site excellence, proactive incident management, and continuous improvement practices.
• Coach and develop engineers and leaders through mentorship, career growth planning, and a growth mindset culture that enables both individual and team success.
• Coach and develop engineers and leaders through mentorship, career growth planning, and a growth mindset culture that enables both individual and team success.
• Anticipate risks, dependencies, and execution challenges, proactively removing blockers and driving cross-team alignment to ensure successful delivery against commitments.
• Anticipate risks, dependencies, and execution challenges, proactively removing blockers and driving cross-team alignment to ensure successful delivery against commitments.
• Attract, retain, and develop top engineering talent while building organizational capability and leadership depth within the team.
• Attract, retain, and develop top engineering talent while building organizational capability and leadership depth within the team.
• Lead by example through hands-on technical engagement, architectural guidance, and sound engineering judgment while empowering teams to own execution and innovation.
• Lead by example through hands-on technical engagement, architectural guidance, and sound engineering judgment while empowering teams to own execution and innovation.
• Embody Microsoft's culture and values by fostering trust, inclusion, accountability, collaboration, and continuous learning across the organization.
• Embody Microsoft's culture and values by fostering trust, inclusion, accountability, collaboration, and continuous learning across the organization.

Benefits

• general: Flexibility: Balance what matters—your work, your life, and your team—through trust, autonomy, and shared accountability
• general: Growth: Stretch your skills, expand your impact, and grow with support that meets you where you are
• general: Wellbeing: Support for your body, mind, and financial future—so you can stay energized and do your best work
• general: Community PCS: Find your people, build your network, and feel supported every step of the way

Travel Requirements

Less than 25%

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