Senior Software Development Engineer

ColombiaRemotesenior

OtherSoftware EngineerSoftware Development EngineerSoftware Engineering

2 views0 saves0 applied

Apply Now

Quick Summary

Overview

Location Details: Colombia, remote At GoDaddy, the future of work looks different for each team.

Technical Tools

OtherSoftware EngineerSoftware Development EngineerSoftware Engineering

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.

Responsibilities

~1 min read

→Design, develop, and deploy production-ready AI agents and services using Node.js, LLMs (OpenAI, Anthropic, or similar), and modern cloud technologies.
→Drive technical design and architecture decisions for scalable, reliable, and maintainable AI-powered systems serving thousands of customers.
→Own end-to-end delivery of complex engineering initiatives, including backend services, API development, AI orchestration workflows, and production operations.
→Collaborate closely with Product, Design, Business Analytics, and Engineering teams to influence technical direction and deliver impactful customer experiences.
→Mentor engineers through code reviews, technical guidance, and knowledge sharing while helping elevate engineering standards and operational excellence.

6+ years of professional software engineering experience building and operating scalable distributed systems and full-stack applications.
Strong expertise in backend development using Node.js, Python, Go, or similar technologies, with a deep understanding of software design principles.
Experience leading technical initiatives from architecture and design through deployment and production support.
Hands-on experience with cloud platforms such as AWS or Azure, including infrastructure design, monitoring, reliability, and scale.
Strong knowledge of distributed systems, microservices, API design, event-driven architectures, databases, CI/CD pipelines, and containerized environments.

Experience building and operating AI-powered applications using LLMs, AI frameworks, and production-grade AI infrastructure.
Familiarity with agentic AI patterns such as RAG, tool calling, prompt orchestration, memory management, and structured output validation.
Experience with vector databases and semantic search technologies such as Pinecone, Weaviate, Elasticsearch, or similar platforms.
Strong front-end development experience using React, Next.js, or other modern JavaScript frameworks.
Experience mentoring engineers, influencing technical roadmaps, and driving adoption of engineering and AI best practices across teams.

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.