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Why this grade This listing scored 12/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 14 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Freshness 0 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- 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.
-15 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
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 →
Role Overview
As a Sr GCP Engineer, you will be the resident expert and engineering heart of our AI & Agentic capabilities, building and scaling agentic systems within the Google Cloud ecosystem. You will bridge the gap between AI models and production-ready applications by building scalable backend services, APIs, and data pipelines required for enterprise AI.
What You Will Do
Build and maintain production-grade microservices and APIs, implement and optimize complex prompt templates, lead the transition of AI prototypes to scalable production environments, and implement the 'glue code' and connectors required for Agents to interact with enterprise data.
Why It Might Be a Fit
You will be part of a team that combines human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will have the opportunity to work on innovative projects, develop reusable technical assets, and collaborate with AI specialists and lead developers from other technology practices.
Requirements
- 8+ years of software engineering with a focus on backend development
- 3+ years of experience building applications on Google Cloud Platform
- expert proficiency in Python and/or Go
- deep hands-on experience with Gemini (Pro/Flash), Vertex AI SDKs, Prompt Engineering, and Function Calling
- familiarity with building RAG-based systems
Benefits
- Full-time employment
- Remote work option
- Travel opportunities (<15%)
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
- 08 Jul 2026 Himalayas first sighting
Seen on 1 board over 0 days.