Software Engineer II

Microsoft•Redmond, WA

7d•$102,100 - $219,200

About The Position

Are you an experienced software engineer with a passion for Windows? Are you an individual that has a background in successfully launching innovative experiences? Do you excel in collaborating across design, program management, and data disciplines? Do you thrive on solving complex and ambiguous challenges? If so, come join us! We are the Microsoft Store team. Our team is focused on ensuring that Windows users at home, work, and school find it easy to discover and engage with the experiences they need most and that Independent Software Vendors (ISVs) are excited to build Windows experiences because they can innovate, differentiate, and exceed their business goals on Windows. As a Software Engineer II on the Microsoft Store team, you will be a versatile, AI-forward engineer who ships across the full stack (frontend, backend, services, and data) without being boxed into a single layer. In a world where AI amplifies what one engineer can deliver, we are looking for someone who uses modern Artificial Intelligence (AI) tooling and agentic workflows to move faster, raise quality, and take end-to-end ownership of meaningful problems. You will own workflows in areas such as platform, accessibility, security, and service health, and you will help the team fold AI into how we design, build, test, and operate our app, web, and service surfaces. Apply for this role if you are genuinely excited about AI and eager to apply large language models (LLMs), coding assistants, and automation to real engineering work. You are curious and adaptable, comfortable learning new tools and stacks as the technology evolves, and you treat security, privacy, accessibility, and reliability as first-class parts of every experience you build. You take ownership, act with urgency, and communicate clearly with partners across engineering, design, and program management. At Microsoft, our mission—to empower every person and every organization on the planet to achieve more—guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress—people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone.

Requirements

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.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice To Haves

Hands-on experience using AI-powered development tools (such as GitHub Copilot or comparable coding assistants) and a demonstrated ability to adopt new AI tooling to improve how you build and ship software.
Experience building software across more than one layer of the stack (frontend, backend, services, or data) and a willingness to work in any stack as the problem requires.
Experience building and operating cloud-based services on Azure (or a comparable platform), including CI/CD, automation, and production monitoring, while owning a key engineering area such as platform, security, accessibility, privacy, or service health.
Demonstrated individual ownership: driving work to completion with urgency, adapting quickly to new tools and domains, and communicating clearly and proactively with partners.
Experience building automation and test harnesses, or developer-productivity and agentic workflows that reduce manual effort across the engineering lifecycle.
Experience with observability and live-site operations: Azure Monitor or Application Insights, service-health dashboards, SLIs/SLOs, and on-call rotations.
Experience applying large language models (LLMs) in software: prompt engineering, model integration, retrieval-augmented generation (RAG), or evaluating and productionizing AI features.

Responsibilities

Build and ship across the full stack (frontend, backend, services, and data pipelines), taking end-to-end ownership of features rather than being limited to a single layer or specialty.
Use AI tooling and coding assistants (such as GitHub Copilot and agentic coding workflows) as part of your everyday engineering to accelerate delivery, improve code quality, and expand what you can own single-handedly.
Apply large language models (LLMs) and generative AI to product and engineering problems: prototyping, evaluating, and integrating AI-powered capabilities, prompts, and automation into our app, web, and service surfaces.
Design and maintain automation and test harnesses that make our build, validation, and release processes faster and more reliable, and continuously look for opportunities to automate manual work.
Own a workflow area end to end (such as platform, accessibility, security, or service health), defining best practices, tooling, and quality bars, and driving measurable improvement in that area.
Modernize how we build and deploy on Azure using Infrastructure-as-Code (IaC) and CI/CD pipelines, and integrate quality, security (SDL), privacy, and accessibility gates directly into those pipelines.
Proactively monitor reliability and performance using Azure Monitor and similar tooling, define SLIs/SLOs, build service-health dashboards, and participate in the on-call rotation for the services millions of customers depend on.
Drive work to closure with urgency, stay focused on the highest-impact priorities, share what you learn about AI and automation with the team, and communicate status, risks, and decisions proactively across partner teams.