Senior Software Development Engineer
Quick Summary
Location Details: Colombia, remote At GoDaddy, the future of work looks different for each team.
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.
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.
- 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.
- 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 ability to lead technical initiatives from architecture and implementation through deployment, production support, and continuous improvement.
- Strong problem-solving and communication skills, with experience collaborating across engineering and cross-functional teams.
- Experience building AI-powered applications using LLMs, such as OpenAI or Anthropic models, including tool calling, retrieval-augmented generation (RAG), prompt orchestration, and structured output validation.
- Familiarity with machine learning concepts and production ML workflows, including model inference, feature pipelines, model evaluation, and model monitoring.
- Experience with AWS ML and data services such as SageMaker, Glue, EventBridge, or similar platforms, particularly for integrating model inference into production systems.
- Knowledge of vector databases, semantic search, and retrieval systems used in AI-powered applications.
- Experience with React, Next.js, or other modern front-end technologies.
- Experience mentoring engineers, influencing technical direction, and driving adoption of engineering, AI, and operational best practices.
We encourage you to apply even if your experience or skillset doesn’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 off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy’s benefits vary based on individual role and location and can be reviewed in more detail during the interview process.
About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.
At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report, which can be found on our Diversity Careers page.
We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.
GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.
Our recruiting team is available to assist you in completing your application. If they can be helpful, please reach out to myrecruiter@godaddy.com.
GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.
Location & Eligibility
About this job
- Who can apply
- Colombia
- Posted
- Today
Listing Details
- Posted
- October 27, 2026
- First seen
- October 27, 2026
- Last seen
- October 27, 2026
Posting Health
- Days active
- 0
- Repost count
- 1
- Trust Level
- 70%
- Scored at
- October 27, 2026
Signal breakdown
GoDaddy helps the world easily start, confidently grow, and successfully run an online presence.
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