Job Opportunities API

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 Join our Growth team, where you'll build intelligent agents that serve hundreds to thousands of customers in production. We're at the forefront of applying AI to solve real business problems at scale. You'll architect, deploy, and operate AI-powered systems in live environments, tackling challenges in reliability, scalability, and performance as we grow our AI footprint across GoDaddy. What you'll get to do... Design, build, and deploy production-ready AI agents using Node.js, integrating LLMs (e.g., OpenAI, Anthropic) into scalable backend services, and delivering AI-powered experiences through full-stack applications with React frontends. Architect and manage scalable cloud infrastructure on AWS or Azure to support AI workloads for thousands of users, including database design and end-to-end system ownership. Develop and optimize APIs that orchestrate AI agents, handle asynchronous processing, and manage complex workflows with a focus on performance, reliability, and observability in production environments. Work across the full stack and collaborate with cross-functional teams to define scalable, available, and maintainable technical solutions while reducing technical debt and strengthening engineering foundations. Mentor junior engineers on full-stack and AI best practices, and actively participate in on-call rotations, incident response, and post-mortems to ensure high operational standards. Your experience should include... 5+ years of experience building and scaling full-stack applications, with a strong focus on backend development and infrastructure, including end-to-end delivery of production systems. Hands-on experience with AWS, Azure, or similar cloud platforms, deploying and operating services at scale with the ability to support thousands of concurrent users. Expertise in distributed systems and micro-services architectures, including strong knowledge of API design, asynchronous processing, and event-driven systems. Proficiency in modern backend languages (Node.js, Python, Go, or similar), along with experience in SQL and NoSQL databases such as PostgreSQL, MongoDB, and Redis. Strong foundation in observability (logging, metrics, tracing, alerting), containerization (Docker, Kubernetes), CI/CD pipelines, and commitment to writing clean, maintainable code. You might also have... Hands-on experience building applications with LLMs and AI frameworks (OpenAI, Anthropic, LangChain, or similar), including deploying and monitoring ML/AI models in production environments. Familiarity with agentic AI patterns such as tool calling, retrieval-augmented generation (RAG), prompt orchestration, and structured output validation. Experience working with vector databases and semantic search technologies (e.g., Pinecone, Weaviate, Elasticsearch). Experience building modern single-page applications using React, Vue, or similar frontend frameworks, along with a background in developing developer tools, APIs, or platform services. Experience with creating tests early in the development process and implementing automated testing strategies to ensure code quality and reliability. We encourage you to apply even if your experience or skills don’t align perfectly with every requirement. We value a wide range of backgrounds and transferable skills, and we are excited to support learning and growth. We've got your back...    We offer a range of total rewards that may include paid time of