GoDaddy-posted 8 months ago
Full-time • Mid Level
Remote • Kirkland, WA
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

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 position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands. Join our team consisting of engineers ranging from principal engineers to SDE 2 engineers. We work in a nimble and agile fashion, ready to react to the fast-moving trends in the agentic AI domain. We are comfortable with ambiguous and fast changing requirements as well as solution tools. We constantly do early prototypes and evaluation of the latest tools and frameworks in the GenAI space. Our work culture is constantly fluid due to the rapid industry advancements. Hence, we avoid over toil on architectures while upgrading the agent platform with customer-demanded features by adopting reliable frameworks such as AWS bedrock.

  • Deliver solutions, components, and services for the agent platform.
  • Contribute to various deliverables in the roadmap, including onboarding of agent prototypes, building agent actions (tools) framework, Agent registry, Access control, Agent Observability, and so forth.
  • Strong experience in one programming language such as Java, Python, TypeScript, JavaScript, Go Lang, etc.
  • Strong foundation in data structures, algorithms, software designs, micro services, and cloud computing.
  • Prior work experience with AWS.
  • Experience in an Agile development environment.
  • Strong analytical and research skills.
  • Hands-on software engineering, design, and architecture.
  • Familiarity with Infrastructure as code, preferably CDK.
  • Familiarity with GenAI tools and technologies.
  • Able to solve various GenAI and agentic workflows leveraging the capabilities of powerful modern LLMs using design patterns such as RAG, Chain of thought, reasoning, planning and task execution.
  • Familiarity with concepts of Vector DBs, Knowledge base, Agent memory, and tools.
  • Paid time off
  • Retirement savings (e.g., 401k, pension schemes)
  • Bonus/incentive eligibility
  • Equity grants
  • Participation in employee stock purchase plan
  • Competitive health benefits
  • Family-friendly benefits including parental leave
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