Customer Innovation Engineering is a highly technical team that operates globally and is responsible for: Driving engineering impact with strategic Azure customers Building and evolving an observability-focused service Contributing to the design, development, and continuous improvement of a new platform capability that enhances monitoring, diagnostics, and operational visibility for cloud workloads. Owning production reliability and operations Supporting live production environments through on-call participation, incident investigation, and and implementing engineering improvements that enhance reliability and performance. Creating reusable engineering assets Developing technical assets, tools, guidance, and reference implementations that enable repeatable customer success at scale and accelerate Azure adoption. Influencing Azure platform engineering Collaborating with other product teams to represent real-world customer experience and drive improvements across other Azure services. Strengthening technical capability across MCAPS-Core Developing and supporting technical teams to deepen engineering expertise and delivery quality across the field organization. Bachelor'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 equivalent experience. Master'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 Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 4+ years people management experience. Significant professional software engineering experience designing, building, and operating complex cloud-native applications and distributed systems. Demonstrated experience leading and developing engineering teams, including people management, technical mentorship, and delivery ownership. Proficient hands-on engineering experience with one or more programming languages such as C#, Java, JavaScript, or Python. Experience designing and delivering production-grade software, with a track record of making direct technical contributions to complex engineering initiatives. Deep knowledge of cloud architecture, distributed systems, microservices, messaging and integration patterns, and scalable application design. Infrastructure expertise, including practical experience with Azure services across compute, storage, networking, and application hosting. Experience with modern software delivery practices, including CI/CD pipelines, automated testing, deployment strategies such as blue/green and canary releases, and production operations. Experience with containerized workloads and orchestration platforms such as Kubernetes. Proficient communication and collaboration skills, with the ability to work effectively across distributed teams and engage directly with customers and senior technical stakeholders. 3+ years of experience managing cross-functional and/or cross-team projects Experience in a player-coach engineering leadership role that combines meaningful hands-on development with people management and technical direction. Experience building and operating cloud services at scale, particularly within observability, monitoring, diagnostics, or reliability engineering. Experience with Site Reliability Engineering (SRE), incident management, on-call operations, and improving the reliability of production systems. Experience working directly with enterprise customers on complex cloud architecture, application modernization, or production engineering challenges. Experience translating customer feedback and field requirements into product capabilities and engineering investments. Familiarity with AI-assisted engineering, agentic systems, and emerging approaches to cloud operations and observability. Experience leading geographically distributed engineering teams across multiple locations and time zones. A strong commitment to continuous learning, technical curiosity, and staying current with Azure innovations and broader trends in cloud architecture, distributed systems, and AI.