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Software Engineer Purview

Microsoft (Eightfold Apply)

United States, Washington, RedmondMid
Sign in to applyVerified 1h ago
Location
United States, Washington, Redmond
Work model
On-Site
Level
Mid
Posted
3h ago

Skills

.NETAgileAzureJavaJavaScriptLLMPythonRust

About this role

Overview

Join a team building AI-powered compliance, security, and productivity solutions at Microsoft scale. We leverage AI/ML, distributed systems, and cloud technologies to deliver intelligent experiences that help customers understand, protect, and govern their data. As a Software Engineer II, you will own features end-to-end, from design and implementation to deployment, monitoring, and live-site support. You will build scalable backend services in C#/.NET, work with AI-driven technologies and evaluation frameworks, and help drive engineering excellence through operational rigor, data-driven decision making, and modern AI-assisted development practices. 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

Owns Features End-to-End: Designs, develops, tests, deploys, and operates production-grade features and services. Drives delivery from requirements through implementation, validation, monitoring, and post-release support. Builds Scalable Distributed Systems: Develops highly available, secure, and performant backend services using C#/.NET and Azure. Solves challenges related to scale, reliability, latency, resiliency, and distributed architectures. Drives Operational Excellence: Participates in on-call rotations, investigates production incidents, performs root cause analysis, and implements improvements that enhance service reliability, availability, and customer experience. Leverages AI and ML Technologies: Applies AI/ML technologies to product experiences and engineering workflows. Builds and evaluates AI-powered solutions, defines quality metrics and evals, and uses AI-assisted development tools to improve engineering velocity and effectiveness. Instruments, Measures, and Optimizes: Creates dashboards, telemetry, and monitoring solutions to track system health, customer impact, performance, and business outcomes. Uses data-driven insights to identify opportunities and drive continuous improvements. Collaborates and Executes in a Fast-Paced Environment: Partners with engineering, product, and data science teams in an agile development model. Contributes to technical design reviews, code reviews, and engineering best practices while maintaining a strong bias for execution and customer impact.

Qualifications

Required Qualifications: Bachelor's Degree in Computer Science, or related technical discipline with proven experience 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 background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications

Bachelor's Degree in Computer Science, or related technical field AND 1+ year(s) technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Rust, or Python. OR Master's Degree in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Rust, or Python. OR equivalent experience. Experience building and operating large-scale distributed systems and cloud services using C#, .NET, Azure, or similar technologies. Experience with AI/ML technologies, LLM-based applications, evaluation frameworks, experimentation, or AI-assisted software development tools. Experience

Listing verified 1h ago. Applications go through the company's official careers site.

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