Travis Godfrey

Responsible for designing, developing, and managing cloud-based and on-premises software solutions, with a focus on Identity and Access Management (IAM) systems. Collaborates across global teams to deliver scalable, secure, and high-quality software using modern development practices, while leveraging AI tools to accelerate innovation and team productivity. Engineered cloud API services for AWS and private cloud environments using Kubernetes, RESTful technologies, C#, Golang, Python, PostgreSQL, RabbitMQ, and Redis.

• Designed and implemented IAM solutions compliant with OAUTH and OIDC standards, integrating Azure AD, Duende Framework, AWS Services, Cognito, and Okta.
• Led two globally distributed teams of 10 engineers, applying Agile methodologies to deliver software efficiently while maintaining high-quality standards.
• Facilitated cross-functional collaboration and knowledge sharing through brownbag sessions, ensuring seamless IAM system integration and team upskilling.
• Leveraged AI-assisted development tools including GitHub Copilot, Google Gemini, and ChatGPT to accelerate coding, optimize workflows, and enhance overall software quality.

Responsible for designing and implementing web UI components, leading a global development team, and
establishing best practices to ensure high-quality, scalable software solutions. Collaborates across departments
to integrate UI components seamlessly into enterprise applications.

• Constructed dynamic web UI components using JavaScript, TypeScript, React, Vue.js, and Stencil.js frameworks, ensuring responsive and scalable user interfaces.
• Led a globally distributed team of 5 engineers, applying Agile methodologies to accelerate development cycles and maintain high-quality software delivery.
• Built UI development standards and collaborated with cross-functional teams to ensure seamless integration and consistency across applications.

Developed analytical and desktop software solutions for the GCMS and LCMS industries, delivering innovative Applications that optimized laboratory workflows, streamlined data management, and supported mission-critical operations, including high-profile projects for the Olympics. Led technical teams while collaborating with customers, scientists, and cross-functional development groups to ensure high-quality software delivery.

• Developed analytical software that enhanced laboratory efficiency and data accuracy.
• Built comprehensive database solutions to support complex scientific workflows.
• Led desktop development teams, ensuring quality software delivery within project timelines and technical standards.
• Collaborated closely with customers, scientists, and cross-functional teams to define features, validate requirements, and ensure software quality.

Developed analytical software solutions for the GCMS and LCMS industries, optimizing laboratory workflows, and delivering robust, intelligent data management systems for high-profile scientific applications.

• Developed analytical software that improved laboratory efficiency and data accuracy.
• Created comprehensive database solutions across to support complex scientific workflows.
• Designed an analytical application still used by the Olympics for athlete drug testing, featuring intelligent data processing, smart sample flagging, flexible review, and custom report generation.

• Developed and implemented data models to enhance business operations.
• Designed efficient database architectures for complex data management.
• Managed database performance through proactive monitoring and optimization.
• Automated data migration processes, increasing operational efficiency.
• Utilized SQL for querying large datasets from various sources such as Oracle and other proprietary DataSystems
• Crafted complex PL/SQL queries for data extraction and transformation.
• Created automated scripts with shell scripting to streamline repetitive tasks.
• Leveraged Python, Pearl, and Bash scripting for automation.