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About the role
Lead the architecture, design, and implementation of secure, scalable, and resilient cloud services and enterprise data platforms powering mission-critical Dataverse Runtime workflows. Drive technical direction for major features and enhancements within Dataverse Runtime services, ensuring high reliability, performance, compliance, and accessibility standards. Collaborate across disciplines and with principal engineers, product managers, and stakeholders to deliver end-to-end solutions that span multiple services and data pipelines. Design and implement automation for deployment, monitoring, issue detection, diagnosis, and self-healing, reducing operational overhead and improving live-site health at scale. Proactively identify, analyze, and resolve systemic issues or architectural bottlenecks; drive resiliency improvements through advanced observability, diagnostics, and recovery strategies. Oversee and participate in live-site operations, including incident response, alert tuning, production fixes, and preventive engineering to protect and enhance customer experience. Mentor and coach engineers, conduct technical reviews, and model best practices for code quality, security, and operational excellence; champion a culture of continuous learning and process refinement. 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. Proven experience leading the design and development of cloud-based, distributed systems using Azure services, microservices architectures, and CI/CD pipelines. Deep understanding of security, compliance, accessibility, and enterprise-scale engineering best practices. Demonstrated ability to influence technical direction, drive cross-team collaboration, and deliver solutions that meet complex business and technical requirements. Master's Degree in Computer Science or related technical field AND 7+ years of technical engineering experience OR Bachelor's Degree and 8+ years of relevant experience. Experience in agentic AI technologies and workflows, including building systems that enable autonomous decision-making, orchestration, and safe execution of AI-driven processes within enterprise environments. Proficiency in Python for automation, data processing, or integration with cloud services and AI workflows.
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