Senior Software Engineer - Full Stack AI/ML
About The Position
Join Engineering Operations (EngOps) at Microsoft, a global team focused on driving operational excellence across the Microsoft Cloud. This role involves designing solutions to prevent issues, implementing AI-powered automation, and translating data into actions that benefit customers. The Azure Reliability team is transforming operations with AI by building scalable ML infrastructure for autonomous, reliable, and secure cloud systems. Success in this role means advancing operational autonomy, quality, and security while fostering collaboration and accountability. Microsoft's mission is to empower every person and organization on the planet to achieve more, and this role contributes to that by keeping customers secure, resilient, and ready.
Requirements
- 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.
- Ability to meet Microsoft, customer and/or government security screening requirements.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
- Experience building software and services on Microsoft Azure or other cloud computing platforms.
Nice To Haves
- 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 Artificial Intelligence (AI), Machine Learning (ML), risk assessment systems, or intelligent automation solutions.
- Experience with DevOps practices, continuous integration and continuous deployment (CI/CD), infrastructure as code, and service reliability engineering.
- Experience analyzing large datasets and translating insights into product or engineering improvements.
- Experience leading technical initiatives and influencing architecture, design, and engineering best practices across teams.
- Demonstrated ability to drive operational excellence through automation, scalability, reliability, and continuous improvement.
Responsibilities
- Partner across multiple product groups to apply subject-matter expertise in distributed systems design practices, interactions between cloud technology layers and components, basic dependencies at scale, and the code that defines infrastructures.
- Lead by example and mentor others to produce extensible and maintainable code used across products.
- Develop and evangelize insights, best practices, and standards that can be applied to improve system, platform, and/or product development and operations across the business.
- Drive continuous improvements in the architecture, code, features, operations and comprehensive use scenarios of products by leveraging end-to-end technical expertise.
- Make improvements to the product fundamentals and architecture, share knowledge and code, always looking for ways to make what we build useful to multiple teams and products.
- Demonstrate end-to-end expertise in distributed systems design, interactions between cloud technology layers.
- Provide technical leadership in test maturity reviews, static analysis reviews, meetings, on-call rotations, and incident responses throughout product development and operations cycles.
- Provides deep business and technical expertise as required to resolve major incidents.
- Embody our Culture and Values
Benefits
- Certain roles may be eligible for benefits and other compensation.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
