• Identify and propose opportunities to adopt AI agents across different squads and projects. • Implement advanced solutions using platforms such as Azure AI and Amazon Bedrock, integrating intelligent agents into existing workflows. • Accelerate hybrid squads by serving as the technical reference for Artificial Intelligence solutions. • Lead the definition of guidelines and strategies for AI-related content on the StackSpot AI platform. • Document configuration, integration, and solution evolution processes, sharing knowledge with the community and technical teams. • Assess the effectiveness of implemented solutions through technical metrics and user feedback.

• Designs, builds, and supports distributed, event-driven systems running on AWS using (and not limited to) Lambda, DynamoDB, S3, EC2, and OpenSearch. • Develops primarily in C#/.NET and Python, delivering APIs, backend services, and high-velocity data processing components. • Leads efforts to re-architect and refactor legacy applications into modular, cloud-native microservices following AWS and industry best practices. • Collaborates with Product, QA, and other engineers to turn user stories into scalable, secure, and observable production features. • Owns end-to-end performance, scalability, and reliability of services — from design through deployment and monitoring. • Integrates security-first development practices (IAM least privilege, encryption, secrets management, secure API design). • Participates in design reviews, code reviews, and post-incident analysis to improve reliability and maintainability. • Continuously evolves engineering standards, CI/CD pipelines, and testing practices in a fast-moving Agile environment. • Contributes to related initiatives and continuous improvements as business needs evolve.

• Develop interfaces between autonomy software components, hardware modules, and the track infrastructure systems. • Design, implement, and maintain simulation capabilities and metrics. • Maintain core onboard functionality around fault handling, vehicle communication, and top-level pipelines. • Work with the onboard integration team to tie hardware to the autonomy stack. • Work onboard and offline to fix bugs across the stack. • Write safety-rated requirements and code for the vehicle safety system. • Develop tooling to improve logged data processing (including visualization). • Conduct and support on track testing of Glydways vehicles. • Participate in design review, planning, and code review.

• Implement frontend features and contribute to backend services, ensuring seamless integration between the user interface and data processing layers • Take ownership of assigned features from development to deployment, managing your own tasks effectively and maintaining a steady delivery pace in an agile environment • Collaborate closely with the product to deliver rapid prototypes and innovative user experiences • Write clean, tested, scalable, and well-documented code • Participate in system design discussions and contribute to the team’s code review process to maintain high quality • Monitor system performance to identify bugs or bottlenecks, working with the team to troubleshoot and ship improvements