Senior Software Engineer- CTJ - Poly at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

08 May, 26

Salary

258000.0

Posted On

07 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

System Design, Cloud Scale Engineering, Automation, Telemetry, Resiliency Engineering, Performance Optimization, Security Implementation, Platform Tooling, LLM Workflows, On Call Rotations, Root Cause Analysis, Customer Feedback Integration, C#, Python, Docker, Kubernetes

Industry

Software Development

Description

Overview Join the Azure AI Platform air gapped engineering team as a Senior Software Engineer delivering secure, scalable, and mission critical AI infrastructure for Microsoft’s most sensitive cloud environments. We build foundational services that power Azure Machine Learning, Azure AI Services, Azure OpenAI, and Microsoft Foundry capabilities across air gapped, sovereign, and commercial clouds. Our team aligns with the Foundry Product Way, which emphasizes first principles thinking, customer first innovation, and rapid learning cycles. We design systems that are not only scalable and reliable, but adaptive to a rapidly evolving AI landscape, requiring engineers who thrive in complex, high impact spaces and who build using modern AI accelerated workflows. This environment is built for engineers who want to do their life’s best work and contribute to the foundation for every AI application on the planet. We operate as full stack AI native builders, leveraging modern tooling and AI systems to accelerate development speed, enhance product quality, and maximize time spent solving deep technical problems. Spanning Azure Machine Learning, Azure AI Services, Azure OpenAI, and Microsoft Foundry, we build and operate the platform that brings frontier models and critical AI capabilities to every person and organization on the planet—so they can achieve more. 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 • Design, build, and enhance secure, scalable, and reliable distributed services for AI workloads across air gapped and sovereign cloud environments, demonstrating depth in system design and cloud scale engineering. • Apply engineering fundamentals with leadership-level rigor, including automation, telemetry, resiliency engineering, performance optimization, and security by default implementation across services. • Develop robust automation and platform tooling to improve deployment, testing, observability, and operational workflows, reducing friction and increasing engineering velocity. • Work as an AI native full stack builder, using tools like GitHub Copilot and other approved Large Language Model (LLM) based workflows to accelerate design, coding, debugging, and prototyping, while following Foundry’s security and compliance guidance. • Lead investigations during on call rotations, diagnose complex issues, drive root cause analyses, and deliver durable system improvements that enhance long term reliability. • Incorporate customer, partner, and field feedback into technical decisions—aligning with the Foundry Product Way’s focus on customer first innovation and continuous learning loops. • Collaborate effectively across teams, contributing to clear technical documentation, sharing insights, and modeling the Foundry culture of curiosity, craftsmanship, and high quality execution. Other: Embody our Culture and Values Qualifications Required/minimum qualifications 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. Other requirements Security Clearance Requirements: Candidates must be able 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: The successful candidate must have an active U.S. Government Top Secret Clearance with access to Sensitive Compartmented Information (SCI) based on a Single Scope Background Investigation (SSBI) with Polygraph. Ability to meet Microsoft, customer and/or government security screening requirements are required pre-offer and post-hire for this role. Failure to maintain or obtain the appropriate U.S. Government clearance and/or customer screening requirements may result in employment action up to and including termination. Clearance Verification: This position requires successful verification of the stated security clearance to meet federal government customer requirements. You will be asked to provide clearance verification information prior to an offer of employment. Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Citizenship & Citizenship Verification: This position requires verification of U.S. citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local United States government agency customer and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizenship will be verified via a valid passport, or other approved documents, or verified US government Clearance Additional or preferred qualifications Master'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 Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience Experience with Docker and Kubernetes Background in cloud platforms (Azure preferred) Proficiency in C# or Python Understanding of CI/CD and automation best practices Problem‑solving and debugging skills across cloud services, platform components, and operational tooling. Demonstrated ability and willingness to learn rapidly in a fast‑evolving AI and infrastructure environment, including staying current with new architectures, tooling, and best practices. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 per year. 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 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

Design, build, and enhance secure, scalable, and reliable distributed services for AI workloads across air gapped and sovereign cloud environments, demonstrating depth in system design and cloud scale engineering. Develop robust automation and platform tooling to improve deployment, testing, observability, and operational workflows, reducing friction and increasing engineering velocity.