This is a remote position, so you ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings
Join Our Team...
GoDaddy s AI Platform team is looking for a Principal Software Engineer (Team Lead) to help guide and advance our company-wide AI transformation. This is an outstanding chance to build the platform that drives AI/ML and LLM experiences throughout GoDaddy! Develop crucial features such as retrieval, safety measures, and observability for scalable AI solutions. If you re passionate about modern AI platforms, enabling innovation responsibly, and leading a small but mighty team, we want to meet you.
What youll get to do...
- Architect and optimize AI/ML platform capabilities, including inference, pipelines, retrieval (RAG), and evaluation, with a focus on reliability, latency, and cost-efficiency.
- Build and manage core components such as model serving, feature/embedding pipelines, vector search, orchestration, safety/guardrails, and experimentation tools.
- Develop LLMOps standard methodologies for version control, evaluations, data sets, monitoring, and incident management for AI systems.
- Drive adoption and collaboration by integrating cloud/open-source AI tools with strong governance, partnering across functions, and evangelizing through documentation, templates, and talks.
- Lead and mentor a small engineering team, encouraging growth through reviews, pairing, and clear goal-setting.
Your experience should include...
- Engineering leadership: 10+ years in large-scale distributed systems, with 3+ years as a tech/people lead.
- Cloud expertise: 5+ years building on AWS/GCP/Azure, including IAM, networking, and managed services.
- 4+ years working with machine learning and artificial intelligence or high-throughput data systems, actively participating in applications supported by large language models.
- Strong technical depth: Proficient in Python, Go, Java, or Node.js, with proven systems development, algorithms, performance engineering, containers (Docker/Kubernetes/ECS), IaC (Terraform/CloudFormation), and CI/CD.
- Specialized skills: Hands-on with vector search (OpenSearch, Pinecone, pgvector), RAG patterns, and deep expertise in security, privacy, governance, and observability (OpenTelemetry, Prometheus, Grafana).
You might also have...
- Experience building internal developer platforms for AI (golden paths, standardized templates, platform APIs/SDKs, self-service tooling).
- Knowledge of LLM evaluation frameworks, offline/online testing, and safety/guardrail techniques (policy engines, red-team tooling, jailbreak defenses).
- Familiarity with retrieval & data tech: Lakehouse (e.g., Iceberg/Delta), feature stores (e.g., Feast), caching layers (Redis), and embeddings pipelines.
- Experience with responsible AI practices, model risk management, and compliance in production environments.
- Track record of developer advocacy: writing RFCs, running build reviews, and driving cross-org adoption.
Weve got your back...
We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy s benefits vary based on individual role and location and can be reviewed in more detail during the interview process. We also embrace our diverse culture and offer a range of Employee Resource Groups ( Culture ). Have a side hustleNo problem. We love entrepreneurs! Most importantly, come as you are and make your own way.