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Senior Software Engineer

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Location
Colombia
GoDaddy

Job Description

Location: Remote – Colombia

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 offsites.  

Join our team

Join our dynamic team as a Senior Engineer at GoDaddy’s Data & ML Platform and take on the challenge of building and scaling the platform that supports our groundbreaking Generative AI services as well as our core products. Imagine being at the forefront of revolutionary technology, hosting LLMs (large language models), and providing scalable solutions for millions of customers. This position offers the chance to work with world-renowned tools, and pushing the boundaries of what is possible.

Collaborate with a team of experts, including machine learning scientists, to enhance the performance of our services through Prompt Engineering and LLM model fine-tuning. As a Senior Engineer, you will have the autonomy to develop innovative products and make a significant impact on the development and delivery of our AI services. Don't miss this opportunity to be at the forefront of the AI revolution and join us in shaping the future of technology at GoDaddy!

Are you interested in learning and growing your skills in Platform Engineering and AI? If so, this is the role for you!

What you'll get to do…

  • Develop and maintain a resilient platform infrastructure that supports both Generative AI applications and core GoDaddy services.
  • Collaborate with cross-functional teams, including Machine Learning scientists and Product Managers, to align platform capabilities with evolving product needs.
  • Design and implement improvements to our batch and real-time data streams that feed the feature store.
  • Drive platform automation, ensuring continuous deployment and delivery to accelerate product development cycles.
  • Collaborate on a high-impact, mission-driven Scrum team.
  • Engage in proactive monitoring and performance optimization of the platform to ensure seamless operation and an excellent customer experience.
  • Participate in DevOps, release, and on-call activities in support of your code.
  • Contribute to technology working groups and internal open source. 

Your experience should include…

  • 5+ years of experience in developing and deploying production software.
  • Experience working with Amazon Web Services (AWS).
  • Experience with building APIs - RESTful APIs, Web Services with a strong understanding of Microservices architecture.
  • Proficiency in Java or Python programming languages. 
  • A commitment to software excellence, with practices in CI/CD, comprehensive testing, monitoring, and alerting.
  • Strong drive to learn, grow, and help engineers to do the same.

You might also have…

  • Bachelor's in Computer Science, Computer Engineering, or equivalent technical degree with excellent computer science fundamentals.
  • Experience in platform engineering or related roles, with a track record of developing and maintaining large-scale infrastructure.
  • AI / ML exposure
  • Experience in an Agile software development environment.
  • Experience with platform security best practices and implementation.
  • Experience with TypeScript or Javascript.

We've got your back... We offer a range of benefits that may include paid time off, retirement savings (e.g., 401k, pension schemes), incentive eligibility, equity grants, participation in an employee stock purchase plan, 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.

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.

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.

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 fullEEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to [email protected].

GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.

Advice from our career coach

In this role as a Senior Engineer at GoDaddy's Data & ML Platform, you will have the opportunity to work on cutting-edge technology and collaborate with a team of experts in the field. To stand out as an applicant, it is important to showcase your experience in platform engineering, AI/ML exposure, and proficiency in relevant programming languages such as Java or Python. Here are some specific tips to help you stand out:

  • Highlight your experience in developing and deploying production software.
  • Showcase your experience with Amazon Web Services (AWS) and building APIs.
  • Demonstrate your commitment to software excellence through practices like CI/CD and comprehensive testing.
  • Emphasize your drive to learn and grow, along with your ability to help other engineers do the same.
  • If you have a Bachelor's degree in Computer Science or related technical field, make sure to highlight it.
  • Include any experience in an Agile software development environment and familiarity with platform security best practices.

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