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Why this grade This listing scored 52/100, which is a D. It lost the most ground on pay transparency. See the breakdown
- Remote clarity 15 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Description depth 14 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 12 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Developer Senior Full Time
The person would be working at the intersection of cloud infrastructure and AI/LLM engineering — specifically:
Designing and deploying AI agents using Google’s Gemini models
Using GCP’s Vertex AI as the primary ML platform (model hosting, pipelines, endpoints)
Building with Google’s agent tooling — the Agent Development Kit (ADK) for constructing agent logic, and the Managed Agents API for running/orchestrating them at scale
Likely involved in things like tool-calling, multi-agent orchestration, RAG pipelines, and connecting agents to enterprise systems
Role Responsibilities
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Architecting and implementing infrastructure as code (IaC).
Defining administrative choices for environments that are auto-configured by IaC.
Focus on agent use cases, including relationships with BigQuery databases, enterprise connectors, and agent orchestration.
Heavy leverage of Vertex.
Investigating and tweaking designs to avoid issues with Pfizer’s enterprise infrastructure and GCP limitations.
Requirements
Required Skills and Experience
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Strong background in GCP and Vertex.
Experience with IaC technologies like Kubernetes, Terraform, and CI/CD.
Enterprise environment experience is crucial to navigate existing GCP and ISRM teams and strictures.
-
Preferred transferable skills (due to rarity of specific Google ADK experience):
Mature experience in AWS or Azure.
Experience with Bedrock or Azure Agent Foundry.
GCP experience combined with LangGraph or LangChain.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 17 Sep 2026 Himalayas first sighting
Seen on 1 board over 0 days.