KYYBA Inc

Python FullStack – Google Cloud

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python FullStack developer with expertise in Google Cloud, located in Dearborn, MI. It offers a long-term contract at $60-70 per hour. Key skills include Python, GCP, serverless applications, and agile practices. A Master's degree is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date
November 4, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Dearborn, MI
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🧠 - Skills detailed
#BigQuery #GitHub #Programming #GCP (Google Cloud Platform) #REST (Representational State Transfer) #Kubernetes #Python #AI (Artificial Intelligence) #REST API #Computer Science #Agile #Docker #Cloud #Elasticsearch #Langchain #ML (Machine Learning)
Role description
Positon: Python FullStack – Google Cloud Location: Dearborn, MI Duration: Long term open ended contract Pay rate: $60-70 per hour on W2 with benefits Desired Skills: • A Master's degree focused in Computer Science / Machine Learning or a related field. • Experience working with Google Cloud Platform (GCP) – specifically a broad range of compute, data and messaging services like GKE, CloudSQL, BigQuery, Firestore, Pub/Sub, Memorystore, and Elasticsearch. • Hands-on experience with agentic AI frameworks: LangChain, LangGraph, ADK, CrewAI etc. • Experience building and deploying serverless applications on Cloud Run. • Experience in programming concepts such as Paired Programming, Test-Driven Development, etc. • Knowledge of coding and software craftsmanship practices. • Must be a quick learner and open to learning new technology. • Experience applying agile practices to solution delivery. • Must be team-oriented and have excellent oral and written communication skills. • Must be a self-starter to understand existing bottlenecks and come up with innovative solutions. Skills Required: Python, GCP, REST APIs, Full Stack Skills Preferred: Machine Learning, Artificial Intelligence & Expert Systems, Tekton, GitHub, Docker, Kubernetes