Senior Software Engineer, AI/ML, Ads Bidding
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Microsoft
NewMicrosoft has an exciting opportunity for a Software Engineer II in the Microsoft Specialized Clouds Teams Phone team, focused on building, deploying, and operating Teams Phone services within Air Gapped and Sovereign Cloud environments.
Teams Phone is a foundational service within Teams, enabling customers to associate traditional phone service into the Teams product and collaborate with more devices and more coworkers. In highly regulated and mission-critical environments, these capabilities must be delivered with strict requirements for security, compliance, reliability, and operational excellence.
As a Software Engineer II, you will lead the design, development, and evolution of Teams Phone services that power critical communication experiences across sovereign, air-gapped, and compliance-sensitive environments. You will partner with engineering teams across Microsoft to deliver scalable, secure, and resilient distributed systems while enabling feature parity with Public Cloud offerings.
This opportunity will allow you to accelerate your cloud engineering expertise, develop deep knowledge of distributed systems and large-scale service operations, build advanced skills in automation, observability, incident management, and AI-powered operational tooling, as well as develop code-based engineering solutions across many services. You will gain end-to-end ownership experience across the service lifecycle while helping shape the future of supporting multiple services teams through automation, data-driven operations, and AI-enabled solutions.
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.
• Use AI tools responsibly across the SDLC, reviewing and validating AI-generated changes to ensure correctness and maintainability.
• Work with partner engineering teams, PMs, and experts (privacy, security, SRE) to understand requirements, apply customer feedback/telemetry, and deliver scalable, reliable, user-centric features.
• Build extensible, maintainable services and features with solid diagnosability, reliability, and production-readiness.
• Participate in on-call rotations, troubleshoot live-site issues using least-privileged access, and improve TSGs, telemetry, and fixes that reduce future incidents.
• Contribute to engineering and operational excellence through automation, tooling, documentation, and process improvements.
Required/Minimum Qualifications
Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 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.
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Microsoft builds Windows, Azure, Office and the Copilot family of AI assistants, and operates one of the largest AI training and inference fleets in the world. Microsoft Research and the AI platform teams work across foundation models, systems for large-scale training, and applied ML in every product line.
Founded in 1975 and headquartered in Redmond, Washington, the company is also OpenAI's principal compute partner and ships AI tooling for developers through GitHub, VS Code and Azure AI.
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