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# Staff Software Engineer - Backend

- **Company:** GoDaddy
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $140,000.0 - $273,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Continuous Integration, Distributed Systems, Amazon DynamoDB, Identity and Access Management, Python (Programming Language), Machine Learning, Performance Tuning, Redis, Prometheus, Software Engineering, Systems Architecture, TypeScript, Spring Cloud, Grafana, Godaddy, Caching, Generative AI, Backend, Cloudformation, Kubernetes, Hardware Infrastructure, Functional Programming, Api Design, Cloud Optimization, Cloudwatch, Terraform, Docker, Microservices
- **Published:** September 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=169d3f58df2b2386

## About the Role

As a senior technical leader, you'll influence architecture, drive engineering excellence, and mentor engineers across a globally distributed team., * 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.