About the role
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.
What they're looking for
- 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
More about this role
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.
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...
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