Software Engineer II

Full 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.

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