• Develop, test, and maintain full-stack web applications using .NET, C#, MS SQL, and NoSQL databases • Design and implement server-side logic and components • Develop RESTful APIs and integrate them with front-end applications • Build responsive and user-friendly front-end interfaces using modern front-end technologies • Collaborate with business stakeholders to understand requirements and deliver optimal solutions • Write clean, maintainable, and efficient code following best practices and coding standards • Optimize applications for maximum speed and scalability • Perform code reviews and mentor junior developers • Troubleshoot, debug, and resolve issues in production and development environments • Collaborate with DevOps to ensure smooth deployment and continuous integration • Stay current with industry trends and emerging technologies • Work as a team player to ensure project success, demonstrating a "get it done" attitude and taking ownership of tasks to meet deadlines

• Lead design and development of AWS‑based web applications • Define architecture, technology choices, and coding standards • Build high‑performance UI components using modern JavaScript/TypeScript frameworks • Implement strategies for processing and visualizing large meteorological datasets • Oversee rendering and performance for advanced browser‑based visualizations • Collaborate with UX, meteorologists, and DevOps to deliver end‑to‑end solutions • Mentor engineers, lead reviews, and resolve complex technical issues

• Design and develop AI-enabled services and applications using Python and modern cloud-native architectures. • Integrate large language models (LLMs) and AI APIs into production systems to enable intelligent automation and decision support. • Build scalable microservices and APIs that support AI-driven workflows and data processing. • Develop pipelines and services that process structured and unstructured data to support intelligent applications. • Implement secure APIs and event-driven architectures that support data integration and AI-enabled services. • Optimize AI-powered applications for performance, reliability, and scalability in cloud environments. • Collaborate with engineers, product teams, and stakeholders to translate AI concepts into deployable solutions. • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

• Architect and optimize observability environments through software engineering best practices. • Build automation scripts and tools to streamline observability instrumentation and deployment. • Integrate observability into CI/CD pipelines using infrastructure-as-code (IaC) and configuration management tools. • Conduct observability code reviews and implement automated validation checks. • Build AI-native tools for autonomous issue detection and resolution. • Lead the design of distributed systems focused on reliability, scalability, and performance. • Manage data routing, transformation, and endpoint monitoring integrations. • Mentor junior engineers and foster a culture of continuous improvement. • Collaborate across teams to align observability strategies with business goals. • Communicate technical insights and recommendations to leadership.