
Deluxe Corporation
Open Positions at Deluxe Corporation
7 open positions
Deluxe is hiring an AI Platform Engineer to operate and improve production AI services across media, localization, workflow automation, and application platforms. The role combines MLOps, platform engineering, DevOps, and production operations to make AI systems reliable, observable, and scalable.
Senior Cloud Platform Engineer responsible for designing, automating, and operating AWS cloud and platform infrastructure supporting AI services, media workflows, and enterprise applications. The role emphasizes infrastructure-as-code, containers, production reliability, observability, and operational automation in a hybrid Aachen-based environment.
Principal Software Engineer serving as the hands-on technical owner for modernizing Deluxe’s legacy applications into event-driven services and evolving its cloud-native platform. The role combines software architecture, shared platform development, identity engineering, and technical leadership without direct reports.
Build and own front-end test automation frameworks and CI/CD quality gates for a modern, cloud-native media platform. This SDET role leads QA decisions, drives shift-left quality practices, and partners closely with engineering teams in a hybrid Guadalajara environment.
Frontend Software Engineer responsible for building responsive, accessible, and performant user interfaces with React.js, JavaScript, and TypeScript. The role is hybrid in Guadalajara, Mexico, with opportunities to collaborate on API integration, testing, observability, and full-stack tasks.
Senior Frontend Software Engineer responsible for building scalable, accessible, and high-performing user experiences with React.js and modern frontend technologies. The role combines hands-on UI engineering with technical leadership, mentoring, observability, and collaboration across product, backend, cloud, and DevOps teams.
Senior Software Engineer building AI-powered workflow automation systems that turn manual business processes into scalable production tools. The role combines Python backend engineering with LLM, intelligent-agent, and workflow-orchestration integrations.