Software Engineer

Microsoft•Redmond, WA

About The Position

The Software Engineer will join Microsoft’s Windows Servicing and Delivery (WSD) Validation team, which develops and operates validation platforms, automation frameworks, telemetry systems, and AI-powered engineering solutions for Windows servicing releases, including monthly security fixes. The team helps engineering organizations identify regressions, assess release quality, reduce deployment risk, and make release-readiness decisions through trusted validation signals, actionable insights, scalable automation, and responsible use of AI. The role contributes to software, cloud services, automation systems, and AI-enabled solutions that improve validation effectiveness, engineering productivity, and the quality of monthly Windows security releases. Working with experienced engineers, validation specialists, and cross-functional partners, the engineer designs, implements, tests, deploys, and maintains platforms and workflows used to assess release readiness and security-fix quality across consumer, enterprise, cloud, and OEM environments. Contributions help improve validation efficiency, accelerate issue detection, and strengthen confidence in secure, reliable Windows updates.

Requirements

Bachelor’s degree in Computer Science or a related technical discipline, with proven coding experience in languages such as C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
Ability to meet Microsoft, customer, and/or government security screening requirements, including passing the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.

Nice To Haves

Experience developing software applications, services, APIs, automation systems, or engineering tools.
Experience with modern programming languages such as C#, Python, Java, or C++.
Experience with cloud services, distributed systems, or modern software development practices.
Understanding of software design, debugging, testing, and code quality principles.
Experience with source control systems, CI/CD pipelines, and modern software engineering workflows.
Effective problem-solving, analytical, and communication skills.
Experience developing solutions using Microsoft Azure services.
Experience with Kubernetes, containerized workloads, or cloud-native architecture.
Experience with telemetry, analytics, Kusto (KQL), Power BI, or large-scale engineering data analysis.
Experience building engineering productivity tools, automation systems, validation frameworks, or quality analytics platforms.
Experience with software testing methodologies, validation systems, release-readiness workflows, or quality engineering practices.
Experience using AI-assisted development tools and modern engineering productivity technologies.
Familiarity with large language models, retrieval systems, agentic workflows, MCP integrations, or intelligent automation solutions.
Experience supporting production services and participating in operational excellence initiatives.

Responsibilities

Design, implement, test, deploy, and maintain software components supporting Windows validation and readiness for monthly security releases.
Contribute to cloud-native services and automation platforms that improve validation coverage, scalability, reliability, and engineering efficiency.
Develop APIs, workflow integrations, dashboards, and services for collecting, processing, and analyzing quality signals.
Build and enhance automation frameworks for validating monthly Windows security fixes across diverse hardware, software, and deployment environments.
Improve mechanisms that detect regressions, identify quality risks, surface actionable insights earlier, increase validation signal quality, and reduce manual analysis.
Use AI-assisted development tools, including GitHub Copilot and agentic engineering workflows, to improve productivity and software quality.
Contribute to AI-powered solutions that automate repetitive engineering activities, improve investigation workflows, and accelerate root cause analysis.
Participate in developing agent-based engineering experiences for validation, reliability analysis, and operational efficiency.
Use data and telemetry to understand system behavior, identify trends, measure validation effectiveness, and support release-readiness decisions.
Develop dashboards, visualizations, and reporting capabilities for security-fix quality, test effectiveness, release readiness, and operational health.
Work with large-scale engineering datasets to improve quality insights and confidence in monthly Windows security releases.
Help support validation services and platforms in production; assist with investigation and mitigation of service issues, operational incidents, and reliability concerns.
Contribute durable fixes, automation, documentation, and monitoring improvements that reduce operational burden and improve platform resiliency.
Participate in design reviews, code reviews, testing activities, and operational reviews.
Follow engineering best practices for reliability, observability, maintainability, security, and responsible AI development; continuously improve engineering processes, development workflows, and platform capabilities.
Partner with engineering teams, release teams, servicing organizations, and functional stakeholders to improve validation outcomes and accelerate issue resolution.
Communicate technical concepts clearly and contribute effectively in a collaborative engineering environment.