Source-listed Job

Senior/Software Engineer II - Agentic Security

Collaborate with engineers, product managers, and customers to gather requirements, provide feedback, and deliver effective solutions. Instrument data and develop key metrics to measure product usage, effectiveness, and customer s...

Job Source description available
Microsoft Redmond, WA,US, US Source published Sep 30, 2026 Source retrieved Oct 11, 2026
Source: Microsoft Careers · A retrieval date records when our system last obtained the source record. It does not guarantee the vacancy is still open or that every detail has been independently checked.
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Senior/Software Engineer II - Agentic Security opportunity at Microsoft
DeadlineMon Mar 29 7:31 PM 2027
EmploymentF U L L T I M E
CountryUS

Overview

Collaborate with engineers, product managers, and customers to gather requirements, provide feedback, and deliver effective solutions. Instrument data and develop key metrics to measure product usage, effectiveness, and customer satisfaction, enabling data-driven decision making. Design, develop, and implement new identity management components, features, and platform enhancements. Debug, troubleshoot, and resolve complex live site issues across compute, networking, storage, and distributed systems. Partner with cross-functional teams to improve system reliability, scalability, performance, and operational excellence. Analyze production telemetry and customer feedback to identify improvement opportunities and drive continuous enhancements. Champion the adoption of modern engineering practices, including automated validation, safe and staged deployment strategies, continuous integration a

Full job description

Full Job Description

Collaborate with engineers, product managers, and customers to gather requirements, provide feedback, and deliver effective solutions. Instrument data and develop key metrics to measure product usage, effectiveness, and customer satisfaction, enabling data-driven decision making. Design, develop, and implement new identity management components, features, and platform enhancements. Debug, troubleshoot, and resolve complex live site issues across compute, networking, storage, and distributed systems. Partner with cross-functional teams to improve system reliability, scalability, performance, and operational excellence. Analyze production telemetry and customer feedback to identify improvement opportunities and drive continuous enhancements. Champion the adoption of modern engineering practices, including automated validation, safe and staged deployment strategies, continuous integration and delivery, and developer productivity tooling to increase both engineering velocity and operational confidence. Actively leverage AI-assisted engineering tools throughout the software development lifecycle, including design, implementation, code review, testing, troubleshooting, and documentation, to improve productivity, code quality, and engineering effectiveness. 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 These requirements include, but are not limited to the following specialized security screenings: 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. Experience designing, building, and operating large-scale, distributed data pipelines or ingestion systems that process high-volume, continuous data streams. Working knowledge of cloud infrastructure and services used to build scalable, production-grade ingestion systems. Experience operating production services at scale, including monitoring, troubleshooting, and on-call/live-site support for distributed systems. Experience with DevOps practices and continuous integration/continuous deployment (CI/CD), including building and maintaining automated build, test, and release pipelines for production services. Experience leveraging new technologies, including AI-assisted development and tooling, to continuously improve engineering efficiency and quality.

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