• Collaborate with product and engineering teams to support customer onboarding and technical adoption. • Develop, maintain, and own customer-facing GitHub repositories and related codebases. • Design, build, test, and deploy software solutions for scientific computing and data science applications. • Apply software engineering principles to address scientific, research, and computational challenges. • Create, maintain, and improve reusable AI agents, automation workflows, and community assets. • Utilize AI, LLMs, and agent-based technologies to enhance customer solutions and development processes. • Support machine learning and data science workflows through software development and integration efforts. • Contribute to simulation-based projects and computational science initiatives. • Troubleshoot technical issues, identify root causes, and implement effective solutions. • Follow software development best practices, including version control, testing, documentation, and code reviews. • Engage with customers to understand requirements, provide technical guidance, and drive successful outcomes. • Help establish and promote engineering best practices across customer and community projects.

• Design and evolve scalable, secure, and highly available SaaS applications using C#, .NET, and cloud-native architectures. • Define technical architecture and engineering standards across multiple products and teams. • Lead the adoption of microservices, domain-driven design (DDD), CQRS, event-driven systems, and API-first approaches. • Partner with Product, Engineering, DevOps, and fellow Architects to deliver reliable and maintainable solutions. • Mentor senior engineers and provide technical guidance on architecture, design decisions, and implementation strategies. • Drive improvements in system performance, scalability, observability, and security. • Promote engineering best practices, including code quality, automated testing, and operational excellence. • Champion AI-assisted software development by integrating modern AI tools and workflows into everyday engineering practices.

• Design and evolve scalable, secure, and highly available SaaS applications using C#, .NET, and cloud-native architectures. • Define technical architecture and engineering standards across multiple products and teams. • Lead the adoption of microservices, domain-driven design (DDD), CQRS, event-driven systems, and API-first approaches. • Partner with Product, Engineering, DevOps, and fellow Architects to deliver reliable and maintainable solutions. • Mentor senior engineers and provide technical guidance on architecture, design decisions, and implementation strategies. • Drive improvements in system performance, scalability, observability, and security. • Promote engineering best practices, including code quality, automated testing, and operational excellence. • Champion AI-assisted software development by integrating modern AI tools and workflows into everyday engineering practices.

• Design and evolve scalable, secure, and highly available SaaS applications using C#, .NET, and cloud-native architectures. • Define technical architecture and engineering standards across multiple products and teams. • Lead the adoption of microservices, domain-driven design (DDD), CQRS, event-driven systems, and API-first approaches. • Partner with Product, Engineering, DevOps, and fellow Architects to deliver reliable and maintainable solutions. • Mentor senior engineers and provide technical guidance on architecture, design decisions, and implementation strategies. • Drive improvements in system performance, scalability, observability, and security. • Promote engineering best practices, including code quality, automated testing, and operational excellence. • Champion AI-assisted software development by integrating modern AI tools and workflows into everyday engineering practices.