Are you a customer-obsessed, AI-curious problem-solver who thrives in an inclusive, collaborative global team? Join Engineering Operations (EngOps) – the organization driving operational excellence across the Microsoft Cloud to strengthen quality, reliability, security, and customer trust. As part of EngOps, you’ll design solutions that prevent issues before they happen, embed AI-powered automation, and turn signals into actions that deliver measurable customer impact. Our culture of empowerment, inclusion, and growth mindset defines how we work.

Azure Reliability is driving transformation to AI-powered operations by building scalable ML infrastructure that enables autonomous, reliable, and secure cloud systems. We are looking for candidates that can combine deep technical expertise in MLOps with a proven ability to deliver measurable business impact through continuous learning, policy-driven governance, and responsible AI practices. Success in this role means advancing operational autonomy, quality, and security, while fostering collaboration and accountability across teams.

Every day, customers stake their business and reputation on our cloud. You can help #EngOps keep them secure, resilient, and ready.

This role will require a minimum of three days in office.

• Collaborate with stakeholders to identify user requirements, incorporating feedback and actionable metrics into future designs.
• Contribute to product architecture, helps create proposals, owns solutions, and ensures security and compliance. Assist in testing plans and automation features.
• Implement code for products, services, or features with a focus on extensibility and maintainability. Review code for quality, reliability, and adherence to coding standards.
• Execute project plans, break down work items, conduct experimentation, and support safe deployment of features.
• Manage live service operations, act as a Designated Responsible Individual (DRI) on call, integrate telemetry data, and contribute to data analysis for system health.
• Engineering Excellence: Improve developer tools, contribute to automation in production, ensure compliance with security and privacy, and stay current with industry developments.
• Maintain communication with key partners across the Microsoft ecosystem to achieve desirable user experiences and meet the dynamic needs of partners and customers through product development.

Required Qualifications

• 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 Or equivalent experience.

Preferred 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 Master'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 OR equivalent experience.
• Proven ability to design and evaluate machine learning models for business impact, apply advanced statistical techniques, and communicate insights effectively, combined with hands-on proficiency in SQL, Python, and R.
• Experience in developing data pipelines and reporting (Power BI, Power Automate, Synapse etc.) and/or working with ML models to analyze complex datasets using statistical techniques and providing actionable insights.
• 5+ years of experience managing cross-functional and/or cross-team projects.
• Excellent written and verbal technical communication skills and demonstrated ability to drive cross-team improvements
• Creative problem-solving & analytical skills to drive keen insights and identification of opportunities combined with a “sense of urgency” to develop solutions.
• Understanding and knowledge about big data and writing queries with Kusto/KQL.
• Technical knowledge of Azure, storage, file systems, networking
• Deploying solutions in Azure Services & Managing Azure Subscription

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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.