About the role
Location Details: Colombia, remote
At GoDaddy, the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) , and some work entirely remotely.
This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.
Join Our Team
Where you'll build scalable backend services and intelligent AI-powered systems that support GoDaddy's Growth and Commerce experiences. You'll work at the intersection of backend engineering, applied AI, and machine learning infrastructure, building reliable services that power customer experiences, data-driven decisions, and intelligent automation at scale.
You'll collaborate with Product, Data Science, Analytics, and Engineering teams to turn business problems into production-ready solutions. From designing distributed systems and APIs to integrating LLMs and supporting ML-powered capabilities, you'll help shape the architecture, reliability, and performance of systems serving customers across GoDaddy.
What you'll get to do...
• Design, develop, and operate scalable backend services and APIs using Node.js, Python, Java or similar technologies to support customer-facing applications, AI-powered experiences, and data-driven products.
• Drive technical design and architecture decisions for reliable, maintainable, and highly available distributed systems, microservices, and event-driven applications.
• Build and integrate AI-powered capabilities using LLMs, AI orchestration workflows, and model-serving services to enable intelligent automation and enhanced customer experiences.
• Develop and maintain data and ML integration pipelines that support batch and real-time inference, feature consumption, and model-driven business capabilities.
• Own end-to-end delivery of complex engineering initiatives, from solution design and implementation to deployment, monitoring, troubleshooting, and production support.
• Build and improve CI/CD pipelines, automated testing, observability, and operational workflows to ensure reliable releases and efficient production operations.
• Collaborate with Product, Data Science, Business Analytics, and Engineering teams to translate business requirements into scalable technical solutions and measurable customer outcomes.
• Mentor engineers through code reviews, technical guidance, and knowledge sharing while promoting engineering best practices, operational excellence, and continuous improvement.
Your experience should include...
• 5+ years of experience building scalable distributed backend systems with strong proficiency in Java and TypeScript, including solid knowledge of REST API design, data modeling, and integration patterns.
• Strong understanding of the full software development lifecycle, from planning through production. Demonstrated success navigating ambiguity, turning unclear requirements into actionable plans, and delivering results in a fast-paced environment.
• Experience working with SQL databases and familiarity with data pipelines and data-driven architectures.
• Hands-on experience designing and operating cloud-based applications on AWS or Azure, including deployment, monitoring, reliability, and scalability.
• Strong understanding of distributed systems, microservices, event-driven architectures, databases, messaging systems, and asynchronous processing.
• Experience building and maintaining CI/CD pipelines, automated testing, containerized applications, and production monitoring and alerting.
• Experience integrating external services, data platforms, or ML models into backend applications and production workflows.
• Proven abil
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