• Lead the design, development, and scaling of intelligent systems that enhance aviation maintenance, diagnostics, and operational insights • Focus on advancing AI-driven capabilities across Veryon’s product suite • Work at the intersection of machine learning, aviation data, and distributed systems • Build production-grade AI solutions that combine generative AI, telemetry data, and domain expertise • Mentor team members, influence technical direction, and ensure best practices in building scalable AI systems

• Support, enhance and build high quality Hayes enterprise software solutions. • Collaborate with onshore and offshore teams working in an agile environment focused on delivering innovative solutions to our customers. • Participate in hands on development, POC’s, bug fixing, unit testing and deployment activities and act as a liaison between the tech and the customer facing teams. • Participate in all phases of SDLC including design, development, testing, deployment, and support. • Design, build and maintain high performing, reusable, and reliable code. • Collaborate with the Product team and other stakeholders to develop solutions that meet specific business objectives. • Be available as needed to support production deployments. • Support, troubleshoot and resolve production issues. • Ability to work on 3rd party tools integration (Okta, Snowflake and ThoughtSpot).

• Develop and maintain responsive, high-performance web applications (frontend + backend) • Collaborate with product managers, designers, and engineers to deliver new features • Build and integrate APIs, services, and third-party tools • Optimize applications for scalability, speed, and security • Write clean, maintainable, and well-documented code • Troubleshoot, debug, and upgrade existing systems • Participate in code reviews and contribute to engineering best practices • Stay up-to-date with emerging technologies and frameworks

• Serve as the primary architect and lead developer of our core banking technology • Manage a multi-disciplinary team of engineers, setting coding standards, conducting peer reviews and mentoring the team. • Lead the design and implementation of internal APIs to ensure seamless data flow between tech eco-system. • Champion the use of AI tools to automate repetitive coding tasks, generate documentation and decrease the time-to-market for new features. • Establish automated testing frameworks to guarantee banking-grade reliability and system integrity. • Architect and implement CI/CD pipelines to transition from manual deployments to streamlined, automated delivery cycles. • Design and maintain the technology roadmap for internal applications to ensure they support the bank’s current and future business needs. • Work closely with IT operations, cybersecurity, innovation and business units to ensure the successful implementation of software initiatives.