Senior Software Engineer - Azure Reliability

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 mentors' 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. Demonstrates 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 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 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 C#/Java/C/C++/Golang. Experience in building, shipping and operating reliable solutions. Experience in databases and data services. Experience with generative AI or agentic systems, such as LLM-based applications, tools/function calling, retrieval/memory, or multimodal pipelines, especially in the context of evaluation, testing, or safety/security. Experience applying distributed systems concepts such as concurrency, conflict resolution, and consensus algorithms to the design of resilient and maintainable back-end architectures. Demonstrated experience designing and delivering platforms or frameworks that are adopted by multiple independent product teams (e.g., shared services, SDKs, internal developer platforms, or evaluation frameworks). Experience with livesite and oncall participating in monitoring the uptime and health of a service. Experience analyzing large datasets and translating insights into product or engineering improvements. Demonstrated ability to drive operational excellence through automation, scalability, reliability, and continuous improvement.