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NEXTMOVEFDE careers · United States

Staff Software Engineer - Backend

AI summary of the role

Staff Software Engineer on GoDaddy's Machine Learning Engineering team, leading design and evolution of infrastructure, platforms, and services for production ML and generative AI workloads at global scale.

What you’ll do

  • Lead design and evolution of infrastructure, platforms, and services enabling ML models in production
  • Work closely with ML Scientists, Data Engineers, and Product teams to deliver robust ML-powered solutions
  • Influence architecture and drive engineering excellence across a globally distributed team
  • Mentor engineers and serve as a technical lead for distributed engineering teams

What you’ll bring

  • 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 ECS, EKS, Lambda, DynamoDB, S3, IAM, and CloudWatch
  • Experience with containerization and orchestration technologies including Docker, Kubernetes, ECS, or similar platforms

Technologies

vLLM · Triton · TorchServe · SageMaker · OpenTelemetry · Prometheus · Grafana · CloudWatch · Valkey · Redis · CDK · CloudFormation

About GoDaddy

Provides domains, websites, commerce, payments, marketing, and AI tools that help small businesses get online and grow.

Public · 5000+ people

Source and classification

Internal deployment & tooling · Evidence for this classification:

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
More from the job description

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 se [... source excerpt omitted ...] 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 pl [... source excerpt omitted ...] oviding 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 i

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