Software Engineer II

Job Description

Design and implement secure, scalable, and resilient cloud services and enterprise data platforms powering mission-critical Dataverse Runtime workflows. Develop features and enhancements for Dataverse Runtime services with strong reliability, performance, compliance, and accessibility practices. Collaborate with senior engineers and cross-functional partners to influence technical direction and deliver end-to-end solutions across services and data pipelines. Build automation for deployment, monitoring, issue detection, diagnosis, and self-healing to reduce operational overhead and improve live-site health. Identify and resolve recurring issues or trends; drive resiliency improvements through better observability, diagnostics, and recovery strategies. Participate in live-site operations, including alert tuning, production fixes, and preventive engineering to protect customer experience. Engage in code reviews, share knowledge, and model best practices; continually learn and refine engineering processes to meet evolving enterprise needs. 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 These requirements include but are not limited to the following specialized security screenings: Master's Degree in Computer Science or related technical field AND 3+ 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 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Proficiency with Azure services, microservices architecture, and CI/CD pipelines; strong understanding of security, compliance, and accessibility standards. 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.