Staff Software Engineer - Backend

GoDaddy · United States

Posted 8 days ago

or apply directly on GoDaddy's site. We never take the application ourselves.

Is this posting real?

This role has been open: 8 days
Reposted: No
Salary listed: No
Ghost-job risk at GoDaddy: moderate
Hiring momentum: 63 roles opened in the last 90 days
Last confirmed on the employer's board: 2026-09-17

Measured from postings appearing on and disappearing from GoDaddy's own greenhouse board since 2026-08-03. Full hiring picture for GoDaddy.

About this role

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.

Our read on this posting3.6out of 5

benefits: 5/5
freshness: 5/5
career value: 4/5
role clarity: 4/5
pay transparency: 0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of GoDaddy as an employer.

What you need

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 you get

Competitive pay
Generous time off
Parental and wellness leave
Healthcare
Retirement savings program
Comprehensive benefits package including medical, dental, and vision insurance

Worth weighing

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.

Summarised from GoDaddy's posting. Read the full original.

Listed by GoDaddy on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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