US Resident only - GCP Principal consultant and senior engineer - apply with your resume
Worldwide
US-based Enterprise Architect — 10 hrs/week Designs and governs the overall backend architecture, ensuring scalability, security, and alignment with the client's existing GCP-based infrastructure. Owns decisions around Cloud SQL PostgreSQL (with pgvector), Vertex AI API, Cloud Storage, and Cloud Pub/Sub. Ensures all dev-sec-ops pipelines are compliant with industry security standards. Must have hands-on, production-grade experience architecting AI-enabled systems — candidates with only whiteboard-level architecture experience will not be considered. US-based Developer — 20 hrs/week Senior backend engineer responsible for accelerating feature velocity and clearing technical debt within the client's existing engineering environment. Must have real, production-grade hands-on experience with Python, FastAPI, LangGraph and Google's Agent Development Kit (ADK) for building and orchestrating multi-agent AI workflows, GCP Cloud Run for containerized deployments, and PostgreSQL with pgvector for vector-based semantic search and retrieval. Expected to work natively within the client's GitHub repositories and JIRA workflows from day one with minimal ramp-up. No juniors or mid-level resources — this role requires someone who has shipped production AI systems end to end. Target start date: June 29th or July 6th.
- Less than 30 hrs/weekHourly
- 3-6 monthsDuration
- ExpertExperience Level
$40.00
-
$70.00
Hourly- Remote Job
- Complex projectProject Type
Skills and Expertise
Activity on this job
- Proposals:15 to 20
- Last viewed by client:yesterday
- Interviewing:2
- Invites sent:0
- Unanswered invites:0
About the client
- CanadaMontreal9:16 PM
- $3.5K total spent5 hires, 2 active
- 77 hours
- Tech & ITSmall company (2-9 people)
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