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About the role
Lead the design and development of scalable, secure, and reliable services using C#, .NET, and Azure. Own key architectural decisions and drive technical strategy through design reviews, technical proposals, and hands-on prototypes. Partner with support and operations to identify customer-impacting issues, clarify requirements, and translate operational pain points into engineering work. Analyze incidents and trends to identify root causes, drive post-incident learnings, and deliver durable fixes that reduce recurrence Build automation and self-service capabilities (tooling, diagnostics, guardrails) to reduce operational overhead. Design and implement AI-powered capabilities (e.g., copilots, LLM integrations, and agent-based workflows) with appropriate evaluation, safety, and monitoring. Collaborate across engineering, product, and business teams to deliver end-to-end solutions and align on tradeoffs. Mentor engineers, raise engineering standards (quality, reliability, security), and foster a culture of learning and inclusion. Required: 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 These requirements include but are not limited to the following specialized security screenings: 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. 8+ years of software engineering experience. Solid experience with:C#, .NET / .NET Core. Azure (cloud-native services, DevOps, monitoring). Experience designing and operating distributed systems at scale. Experience working with production systems, including incident management and troubleshooting. Proven ability to collaborate effectively with support and operations teams. Solid problem-solving, communication, and stakeholder management skills. Exposure to modern AI technologies and a curiosity to apply them in practical scenarios. Experience building or integrating AI agents (copilots, task automation, multi-step workflows). Experience connecting LLMs with enterprise systems, APIs, and data sources. Experience with Power Platform (Power Apps, Power Automate) & Logic apps. Experience reducing operational load through automation or platform improvements. Experience building or integrating AI agents (copilots, task automation, multi-step workflows). Experience connecting LLMs with enterprise systems, APIs, and data sources. Experience with Power Platform (Power Apps, Power Automate) & Logic apps. Experience reducing operational load through automation or platform improvements.
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