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Staff Software Engineer - Backend

GoDaddy
Location
United States
Posted
12 days ago
Department
Engineering
What they actually want (must-haves)
  • 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.
Nice to 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.
What the job really is

As a Staff Software Engineer at GoDaddy, you will lead the design and evolution of infrastructure and services that support machine learning models in production. This hands-on role involves collaborating with ML scientists, data engineers, and product teams to deliver scalable ML-powered solutions. You will also mentor engineers and influence architectural decisions within a globally distributed team.

Benefits
  • Competitive pay
  • Generous time off
  • Parental and wellness leave
  • Healthcare
  • Retirement savings program
  • Comprehensive benefits package including medical, dental, and vision insurance
Things to weigh
  • This role is remote but may require occasional office visits for team events or meetings.
  • Candidates from certain states (California, Seattle, NYC, Alaska, Mississippi, North Dakota, Virgin Islands) are not eligible for this position.
  • The job description emphasizes a highly technical and hands-on role, which may not suit those looking for a purely managerial position.
Job score3.6/5
Benefits5/5
Freshness5/5
Career value4/5
Role clarity4/5
Pay transparency0/5

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