Senior Software Engineer-AI Ops Tooling at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

10 Mar, 26

Salary

234700.0

Posted On

10 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C, C++, C#, Java, JavaScript, Python, Azure, Cloud Platforms, Distributed Systems, Microservices Architecture, Observability, AI/ML, Problem-Solving, Communication Skills, Automated Solutions, Reliability, Performance

Industry

Software Development

Description

Overview Intelligent Conversation and Communications Cloud (IC3) powers billions of real-time customer conversations across Microsoft’s first party (Teams, Skype, Azure Communication Servies), and second party (Dynamics) solutions. IC3 enables reliable and high-quality audio/video calling, meeting, and messaging services that work every time from anywhere seamlessly across all customer touchpoints. IC3’s mission is to make conversations on M365 platforms more intelligent in real-time empowering best-in-class productivity tools for the modern workplace where every call, meeting or chat will make the next one better. If you are passionate about advancing engineering excellence, leveraging AI to solve reliability challenges, and making a direct impact on millions of customers, we encourage you to apply and join our mission to transform Microsoft’s quality engineering landscape. 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 and develop large-scale distributed services using modern engineering practices. Architect systems with well-defined interfaces and leverage telemetry data for decision-making. Ensure services are modular, secure, reliable, diagnosable, monitored, and reusable. Improve test coverage, implement integration tests, and resolve problem areas. Collaborate with cross-functional teams to co-develop scalable, impactful solutions. Build reusable engineering tools that boost service health, reduce operational overhead, and empower teams with actionable insights. Enhance observability across business-critical services to accelerate detection and diagnosis of issues. Strengthen on-call effectiveness by modernizing incident response workflows and leveraging intelligent systems. Qualifications Required 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: 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 Cloud background check upon hire/transfer and every two years thereafter. 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 Azure or other cloud platforms. Solid understanding of distributed systems and microservices architecture. Experience working in large-scale enterprise environments. Excellent problem-solving and communication skills. Experience building or operating observability platforms (monitoring, logging, tracing) and applying AI/ML to anomaly detection or root cause analysis. Passion for building reliable and performant systems. Demonstrated ability to design and implement automated solutions that reduce manual effort. Familiarity with cloud platforms (Azure/AWS/GCP) and microservices architectures. Knowledge of AI/ML concepts and practical experience integrating AI-driven features into engineering workflows is highly desired. 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 and develop large-scale distributed services while collaborating with cross-functional teams to create scalable solutions. Enhance observability and improve incident response workflows to ensure service reliability.