• Build and maintain scalable backend systems and data pipelines that support audience segmentation and marketing attribution workflows • Partner with product managers, marketers, and engineers to deliver data solutions that support customer acquisition and conversion goals • Extend existing data infrastructure to support increasing data volumes, evolving business requirements, and new integrations • Contribute to data quality initiatives by implementing monitoring, validation, and guardrail mechanisms across critical datasets • Participate in technical discussions around architecture, access patterns, and platform scalability to support long-term platform growth

• Learn about Viaduct’s history and mission • Get to know every team member • Understand Viaduct’s system architecture • Deep dive into the nuances of vehicle data • Attend our weekly company-wide meeting and engineering tech talk • Understand the product roadmap and the pain-points of our customers • Contribute new features to the product • Refactor code, improve test coverage, or automate a manual process during an engineering hack day • Be familiar with the day-to-day workflow of your peers • Own a piece of the Viaduct platform • Improve the onboarding process for future hires • Present about yourself the company-wide meeting and showcase your work at the engineering tech talk • Become involved in the recruiting process and help find more amazing people like yourself!

• Design, develop, and deploy AI-enabled solutions and components that enhance delivery capabilities and drive measurable business outcomes. • Build, test, and optimize machine learning models, data pipelines, and AI workflows to ensure performance, scalability, and reliability. • Collaborate with Tech Leads, product managers, and cross-functional stakeholders to translate business requirements into technical solutions. • Integrate AI models and data-driven capabilities into existing platforms, applications, and enterprise workflows. • Develop and maintain data pipelines to support efficient data ingestion, transformation, and feature engineering. • Apply best practices in model development, evaluation, and monitoring, including performance tuning and continuous improvement. • Ensure adherence to CT&I standards, approved technology stacks, and engineering practices across all development activities. • Implement appropriate controls for data security, privacy, and responsible AI usage within solutions. • Conduct unit testing, debugging, and troubleshooting to ensure high-quality and reliable solution delivery. • Contribute to documentation, including technical design, model behavior, and implementation details to support maintainability and reuse. • Support deployment, integration, and ongoing maintenance of AI solutions in production environments. • Stay current with emerging AI/ML technologies and contribute to innovation and continuous improvement within the pod.

• Planung, Architektur und Entwicklung von Shopify Apps, Plugins und API-Integrationen • Full-Stack-Entwicklung mit modernen Technologien im Frontend (React, Next.js) und Backend (Node.js, Express, TypeScript) • Anbindung von Drittanbieter-Systemen (ERP, Payment, CRM, Logistik etc.) über REST- und GraphQL-Schnittstellen • Sicherstellung von Performance, Code-Qualität und Skalierbarkeit • Umsetzung responsiver und zugänglicher UI-Komponenten • Durchführung von Code Reviews, Testing (Unit, Integration, E2E) und Debugging • Aufbau und Pflege von CI/CD-Pipelines sowie technische Dokumentation • Enge Zusammenarbeit mit Design, Product und QA, um Produkte von Grund auf zu gestalten • Mentoring jüngerer Entwickler:innen und aktive Mitgestaltung unserer technischen Roadmap