Principal Software Engineer - AI/ML Platform

18 Minutes ago • 10 Years +

Job Summary

Job Description

GoDaddy’s AI Platform team is seeking a Principal Software Engineer (Team Lead) to guide and advance the company-wide AI transformation. This role involves building a platform that drives AI/ML and LLM experiences, developing crucial features like retrieval, safety measures, and observability for scalable AI solutions. The engineer will architect and optimize AI/ML platform capabilities, manage core components, develop LLMOps best practices, and lead a small engineering team, fostering innovation and responsible AI development.
Must have:
  • Architect and optimize AI/ML platform capabilities, including inference, pipelines, retrieval (RAG), and evaluation
  • 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
  • Lead and mentor a small engineering team
  • 10+ years in large-scale distributed systems
  • 3+ years as a tech/people lead
  • 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
  • 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
  • Hands-on with vector search (OpenSearch, Pinecone, pgvector), RAG patterns, and deep expertise in security, privacy, governance, and observability (OpenTelemetry, Prometheus, Grafana)
Good to 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
Perks:
  • 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
  • Family-friendly benefits including parental leave
  • Employee Resource Groups
  • Support for entrepreneurs/side hustles

Job Details

Location Details: Gurugram HR

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​

This is a hybrid position. You’ll divide your time between working remotely from your home and an office, so you should live within commuting distance. Hybrid teams may work in-office as much as a few times a week or as little as once a month or quarter, as decided by leadership. The hiring manager can share more about what hybrid work might look like for this team.

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 you'll 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.

We've 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 hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.

About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements.Refer to our full EEO policy._

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com.

GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.

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About The Company

At GoDaddy, we’re on a mission to radically shift the global economy toward small businesses. Every day, we help over 20 million customers grow expertly by making it easy to start, run, and sca

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