Tool Development Develop and consolidate tools to integrate with next generation simulation architecture Design software to increase efficiency of technical teams with a fully integrated approach Focus on modern application design with a modular framework for integration with multidisciplinary systems Support the technical vision and strategy for cloud modernization, leveraging Google Cloud Platform (GCP) . Design, implement and integrate scalable, resilient, and secure cloud-native architectures, integrating machine learning, big data, and observability solutions. Establish best practices for automation, CI/CD, and DevSecOps to drive operational efficiency and software quality. Support technical governance to ensure alignment with business objectives, security policies, and compliance requirements. Assist Principal Architect and implement event-driven data architectures that support data mesh principles, data as a product, and domain-driven design (DDD) . Collaborate with Principal Architect and software groups to define strategies for data interoperability, governance, and self-service platforms to enable AI and analytics-driven decision-making . Contribute to the adoption of MLOps practices, ensuring seamless deployment and monitoring of machine learning models in production. Collaborate with engineering teams to define scalable and cost-efficient architectural solutions. Work with engineers and developers, fostering a culture of continuous learning and technical excellence. Bachelor's degree in Computer Science, Engineering, or other relevant technical discipline 5+ years of experience in software architecture, cloud engineering, or enterprise systems design. Experience with C#, Python, Go, Typescript, MatLab, Java Knowledge in cloud-native platforms (GCP, AWS, Azure) and containerized microservices architectures (Kubernetes, Docker, Istio, Service Mesh). Strong knowledge of distributed data systems, event-driven architectures (Kafka, PubSub, etc.), and API design (GraphQL, REST, gRPC) . Hands-on experience with Infrastructure as Code (Terraform, Ansible), CI/CD pipelines, and observability tools (Prometheus, OpenTelemetry, Grafana). Excellent communication skills Strong ability and desire to work collaboratively with multiple groups and personnel across numerous disciplines Excellent problem-solving and analytical skills Experience in Motorsports Experience with SQL, PostgreSQL Experience in data governance, security, and compliance in cloud environments. Hands-on experience with AI/ML deployment, MLOps, and model monitoring. Certifications such as GCP Professional Cloud Architect, AWS Solutions Architect, or Azure Solutions Architect.
