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Location Details:
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.
This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.
GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.
Join Our Team...
At GoDaddy, we're building the next generation of AI and machine learning capabilities that power experiences for millions of entrepreneurs worldwide. Our Machine Learning Engineering team bridges the gap between research and production, transforming cutting-edge models into scalable, reliable, and observable services that operate at global scale.
We're looking for a Staff Software Engineer to lead the design and evolution of the infrastructure, platforms, and services that enable machine learning models to run in production. This is a highly technical, hands-on role where you'll work closely with ML Scientists, Data Engineers, and Product teams to deliver robust ML-powered solutions while helping shape the future of our machine learning platform.
As a senior technical leader, you'll influence architecture, drive engineering excellence, and mentor engineers across a globally distributed team.
What you'll get to do...
- Experience deploying and operating machine learning or generative AI workloads using technologies such as vLLM, Triton, TorchServe, SageMaker Endpoints, or similar serving frameworks.
- Familiarity with modern observability practices and tools including OpenTelemetry, Prometheus, Grafana, and CloudWatch.
- Experience with vector databases, feature stores, caching technologies (Valkey/Redis), and infrastructure-as-code solutions such as CDK, CloudFormation, or Terraform.
- Knowledge of GPU infrastructure management, workload scheduling, performance tuning, and cloud cost optimization strategies.
- Experience serving as a technical lead or mentor for distributed engineering teams and leveraging AI-assisted development tools to accelerate software delivery.
Your experience should include...
- 7+ years of software engineering experience building and operating large-scale, production-grade distributed systems and microservices.
- Strong proficiency in Python, Go, and/or TypeScript, with deep expertise in API design, system architecture, scalability, resiliency, and performance optimization.
- Hands-on experience building CI/CD pipelines, cloud-native applications, and infrastructure on AWS using services such as ECS, EKS, Lambda, DynamoDB, S3, IAM, and CloudWatch.
- Experience with containerization and orchestration technologies including Docker, Kubernetes, ECS, or similar platforms supporting high-availability production workloads.
- Proven ability to lead complex technical initiatives, influence architecture, collaborate across diverse stakeholders, and mentor engineers in a fast-paced environment.
You might also have...
- Experience deploying and operating machine learning or generative AI workloads using technologies such as vLLM, Triton, TorchServe, SageMaker Endpoints, or similar serving frameworks.
- Familiarity with modern observability practices and tools including OpenTelemetry, Prometheus, Grafana, and CloudWatch.
- Experience with vector databases, feature stores, caching technologies (Valkey/Redis), and infrastructure-as-code solutions such as CDK, CloudFormation, or Terraform.
- Knowledge of GPU infrastructure management, workload scheduling, performance tuning, and cloud cost optimization strategies.
- Experience serving as a technical lead or mentor for distributed engineering teams and leveraging AI-assisted development tools to accelerate software delivery.
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.
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 could be helpful, please reach out to [email protected].
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.
Compensation & Benefits:
What We Offer:
Working at GoDaddy offers many benefits, including competitive pay, generous time off, parental and wellness leave, healthcare, retirement savings program, and much more. Offerings vary by location.
This role is eligible for a comprehensive benefits package, which includes medical, dental, and vision insurance, a 401(k)-retirement plan, paid sick time, paid flexible time off, paid parental leave, life insurance, short- and long-term disability, AD&D insurance, mental health or EAP programs, remote or hybrid work options, paid holidays, paid Wellness days, tuition assistance, adoption, surrogacy, and fertility benefits, dependent daycare and backup care benefits, Employee stock purchase plan, financial education and advice; and other benefits in accordance with GoDaddy’s benefit plans and applicable law.
Actual compensation and benefits eligibility will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Compensation:
The estimated pay ranges for this role are listed below. In addition to base pay, this role may be eligible for other forms of compensation, which may include a corporate bonus and/or equity awards, subject to the terms of applicable plans and individual eligibility.
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