About this role
Bridging the gap between machine learning research and production requires robust infrastructure that can handle generative AI and machine learning workloads at global scale. GoDaddy needs a Staff Software Engineer to lead the design and evolution of the platforms and services that enable these models to run reliably for millions of entrepreneurs worldwide. Working closely with machine learning scientists, data engineers, and product teams, this person will shape the future of the machine learning platform while driving engineering excellence.
This is a hands-on technical leadership position focused on distributed systems, cloud architecture, and GPU infrastructure management. A successful candidate brings deep expertise in Python, Go, or TypeScript, combined with a strong background in operating large-scale production environments on AWS. Engineers who enjoy mentoring distributed teams, influencing system architecture, and solving complex scalability challenges will thrive in this role.
What you will do
- Design and evolve the infrastructure, platforms, and services that allow machine learning models to operate in production.
- Collaborate closely with machine learning scientists, data engineers, and product teams to deliver robust machine-learning solutions.
- Manage GPU infrastructure, workload scheduling, performance tuning, and cloud cost optimization strategies.
- Build and maintain CI/CD pipelines, cloud-native applications, and infrastructure on AWS using services like ECS, EKS, Lambda, and DynamoDB.
- Serve as a technical lead and mentor for distributed engineering teams while leveraging AI-assisted development tools to speed up software delivery.
- Influence system architecture and drive engineering excellence across microservices and large-scale distributed systems.
What you need
- Bring seven or more years of software engineering experience building and operating large-scale, production-grade distributed systems and microservices.
- Demonstrate strong proficiency in Python, Go, or TypeScript alongside deep expertise in API design, system architecture, scalability, resiliency, and performance optimization.
- Possess hands-on experience building CI/CD pipelines, cloud-native applications, and infrastructure on AWS using core services such as ECS, EKS, Lambda, DynamoDB, S3, IAM, and CloudWatch.
- Show containerization and orchestration experience using Docker, Kubernetes, ECS, or similar platforms supporting high-availability production workloads.
- Exhibit a proven ability to lead complex technical initiatives, influence architecture, collaborate across diverse stakeholders, and mentor engineers.
Nice to have
- Experience deploying and operating machine learning or generative AI workloads using vLLM, Triton, TorchServe, or SageMaker Endpoints
- Familiarity with modern observability practices and tools including OpenTelemetry, Prometheus, Grafana, and CloudWatch
- Experience with vector databases, feature stores, caching technologies like Valkey and 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
Benefits
- Medical, dental, and vision insurance
- 401(k)-retirement plan and employee stock purchase plan
- Paid sick time, paid flexible time off, paid holidays, and paid Wellness days
- Paid parental leave, adoption, surrogacy, and fertility benefits
- Tuition assistance, mental health or EAP programs, dependent daycare, and backup care benefits
- Remote work options
Skills and tech stack
Questions candidates ask
What is the remote work policy for this role?
This is a remote position where you will work from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.
Are there geographic restrictions for where I can live?
This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands. Additionally, GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.
What is the salary range for this position?
The estimated base pay ranges from $140,000 for all other US locations not previously listed up to $182,000 to $273,000 USD for the Bay Area and Los Angeles. In addition to base pay, the role may be eligible for a corporate bonus and/or equity awards.
What kind of benefits are included?
The role is eligible for a comprehensive benefits package including medical, dental, and vision insurance, a 401(k)-retirement plan, paid flexible time off, paid parental leave, and remote work options. Actual benefits eligibility is determined based on permissible factors such as geographic location.