Staff Software Engineer, Cloud AI

Google Google · Big Tech · Hyderabad, Telangana, India

Staff Software Engineer for Google Cloud's Apigee team, focusing on building and securing API gateway infrastructure to make enterprise APIs discoverable and agent-ready. The role involves designing and coding core features for a repository of APIs, MCP Servers, and Agents, building scalable distributed systems for asset discovery, and developing interfaces for AI Agent consumption. Requires experience with LLMs, Generative AI, Agentic AI frameworks, and RAG systems, along with strong software development and distributed systems expertise.

What you'd actually do

  1. Lead the design and coding of core features that transform the Hub into a definitive repository for APIs, Model Context Protocol (MCP) Servers, and Agents.
  2. Build highly scalable, distributed systems that automate asset discovery through deep integrations with various API Gateways and Google Cloud Platform (GCP) Agent Cloud.
  3. Develop the interfaces and schemas required to make organizational assets available and "understandable" for consumption by AI Agents.
  4. Drive high engineering standards across the team through rigorous design reviews, code reviews, and the implementation of best practices in cloud-native development.
  5. Act as a technical lead and mentor for junior and mid-level engineers, helping to solve complex technical bottlenecks and improve system reliability.

Skills

Required

  • Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
  • 8 years of experience with one or more general purpose programming languages including but not limited to: Java, C/C++ or Python.
  • Experience with Large Language Models (LLMs), Generative AI, Agentic AI frameworks and RAG systems.
  • Experience in software development, and designing, implementing distributed systems or cloud-native infrastructure.

Nice to have

  • 5 years of experience in testing or launching products, with 3 years of experience in software architecture.
  • Ability to take ambiguous product requirements and translate them into scalable technical architectures.

What the JD emphasized

  • 8 years of experience
  • Experience with Large Language Models (LLMs), Generative AI, Agentic AI frameworks and RAG systems.
  • Experience in software development, and designing, implementing distributed systems or cloud-native infrastructure.

Other signals

  • building agent-ready digital assets
  • transforming standard enterprise APIs into discoverable, high-value, and agent-ready digital assets
  • empower enterprises to govern and monetize their digital ecosystem
  • bringing AI to tech, healthcare, finance, retail and many other industries
  • research topics that maximize scientific and real-world impact
  • collaborate with product teams to bring innovations to real-world impact
  • Lead the design and coding of core features that transform the Hub into a definitive repository for APIs, Model Context Protocol (MCP) Servers, and Agents.
  • Build highly scalable, distributed systems that automate asset discovery through deep integrations with various API Gateways and Google Cloud Platform (GCP) Agent Cloud.
  • Develop the interfaces and schemas required to make organizational assets available and "understandable" for consumption by AI Agents.
  • Experience with Large Language Models (LLMs), Generative AI, Agentic AI frameworks and RAG systems.