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Senior Engineering Manager

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Location
India
GoDaddy

Job Description

Location Details:India, 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

GoDaddy is dedicated to transforming the digital landscape for small businesses. And now, we are excited to take that mission even further by introducing Generative AI infrastructure to our Machine Learning platform. This cutting-edge tool will host the most advanced language models, allowing our teams to create groundbreaking products. At the same time, small businesses will have access to this powerful tool, empowering them to achieve unparalleled success. Brace yourself for a new era of thriving with GoDaddy.

Join our dynamic team at GoDaddy as an Engineering Manager and take on a leadership role in designing and implementing our cutting-edge ML services. With a focus on innovation, you will drive the development of advanced technology that revolutionizes our hosting of LLMs and provides scalable solutions for our millions of customers. In this role, you will collaborate with renowned tools such as OpenAI, AWS Bedrocks, and Azure AI, pushing the boundaries of what is possible. You will also have the opportunity to lead the development of our Feature Store infrastructure and join forces with AWS to pioneer services, including the next generation of SageMaker Studio, SageMaker Model Registry, DataZone, and MLFlow. We are looking for a leader who is passionate about driving revolutionary technology and making an impact in the world of machine learning!

No prior understanding of ML is needed.

What you'll get to do...

  • Designing and expanding ML services, such as large language model hosting service
  • Partner with cross teams on applications that require Predictive and Generative AI solutions
  • Collaborate on a high-impact, mission-driven Scrum team
  • 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...

  • 8+ years of experience in developing and deploying production software
  • Experience working with Amazon Web Services (AWS) including entitlement and IAM policy
  • Expertise with operationalizing, monitoring, and scaling machine learning models and pipelines in cloud ecosystems
  • Experience with building APIs - RESTful APIs, Web Services with a strong understanding of Microservices architecture
  • Experience with deep learning frameworks such as PyTorch and TensorFlow, Large Language Models, Generative AI, Langchain, Transformer models, or related
  • Proficiency in modern programming languages (Java, TypeScript, or similar languages.)
  • Good understanding of end-to-end machine learning services, toolings/systems, and deployment pipelines including feature store, CI/CD, testing, monitoring, and drifting

You might also have...

  • BS in Computer Science, Computer Engineering, or equivalent technical degree, with excellent computer science fundamentals
  • Manage Kubernetes clusters for AI/ML platform deployment, including cluster setup, application monitoring, and maintenance
  • Experience with AKS, EKS, Rancher
  • Experience in A/B testing platforms
  • Experience in an Agile software development environment

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

A successful applicant for the Engineering Manager position at GoDaddy should be well-versed in developing and deploying production software, working with Amazon Web Services (AWS), operationalizing machine learning models, and building APIs. To stand out as an applicant, focus on highlighting your experience with deep learning frameworks, modern programming languages, and end-to-end machine learning services. Additionally, showcasing any experience with Kubernetes clusters, A/B testing platforms, and Agile software development environments would be beneficial. Emphasize your leadership skills, passion for driving revolutionary technology, and ability to collaborate effectively with cross-functional teams. Remember to tailor your application to demonstrate how your skills and experience align with the specific requirements and goals outlined in the job description.

  • Highlight your experience with deep learning frameworks, modern programming languages, and end-to-end machine learning services.
  • Showcase any experience with Kubernetes clusters, A/B testing platforms, and Agile software development environments.
  • Emphasize your leadership skills and ability to collaborate effectively with cross-functional teams.
  • Tailor your application to demonstrate how your skills and experience align with the specific requirements and goals outlined in the job description.

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