Staff Backend Engineer – ML Platform & Production Scale

GoDaddy; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

GoDaddy is seeking a Staff Software Engineer to lead the design and evolution of infrastructure and services that enable production ML workloads at scale. You will work with ML Scientists, Data Engineers, and Product teams to deliver robust, observable platforms and drive architectural excellence across a global team.

The role requires deep expertise in Python/Go/TypeScript, distributed systems, containers, and AWS, with a proven track record mentoring engineers and delivering high-availability

Qualifications

• 7+ years of software engineering experience building and operating large-scale distributed systems.
• Strong proficiency in Python, Go, and/or TypeScript with API design and architecture focus.
• Hands-on with containers, Kubernetes, and cloud-native AWS services.
• Experience leading complex technical initiatives and mentoring engineers.

Responsibilities

• Lead design and evolution of ML infrastructure, platforms, and services for production models.
• Collaborate with ML Scientists, Data Engineers, and Product teams to deliver scalable ML solutions.
• Influence architecture, drive engineering excellence, and mentor a distributed team.
• Develop observability, performance, and cost-optimization strategies for ML workloads.

Skills

Python

Go

TypeScript

API design

System architecture

Distributed systems

Kubernetes

Docker

AWS

Mentoring

Observability

AI workloads

CI/CD

Education

Bachelor’s degree in CS or related field

Tools

CDK

Terraform

CloudFormation

Prometheus

Grafana

OpenTelemetry

Job description

GoDaddy is seeking a Staff Software Engineer to lead the design and evolution of infrastructure and services that enable production ML workloads at scale. You will work with ML Scientists, Data Engineers, and Product teams to deliver robust, observable platforms and drive architectural excellence across a global team.

The role requires deep expertise in Python/Go/TypeScript, distributed systems, containers, and AWS, with a proven track record mentoring engineers and delivering high-availability