Micasa Global
Python Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Developer focused on building cloud-based applications with AI integration. Contract length is unspecified, with a pay rate of "unknown." Requires onsite work in Dallas 2–3 days weekly, expertise in Python, GCP, DevOps, and microservices.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
November 14, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Richardson, TX
-
🧠 - Skills detailed
#Microservices #Monitoring #Kubernetes #Cloud #AI (Artificial Intelligence) #Golang #Python #DevOps #GCP (Google Cloud Platform) #BigQuery
Role description
Role Understanding
Willing to work onsite in Dallas 2–3 days a week.
In-person client interview is required
This is a Python Full Stack Engineer role focused on building cloud-based applications that use AI / LLM / agentic workflows.
Think of it like this:
• The engineer builds backend APIs mainly using Python (Golang is a bonus).
• They deploy apps on GCP (Vertex AI, Cloud Run, GKE, BigQuery).
• They must know DevOps basics: CI/CD pipelines, Kubernetes, monitoring, etc.
• They should understand microservices and how different services talk to each other.
• They’ll collaborate with AI engineers to bring AI models into real use cases.
This is a Full Stack / Backend + Cloud + DevOps + AI Integration engineer.
Role Understanding
Willing to work onsite in Dallas 2–3 days a week.
In-person client interview is required
This is a Python Full Stack Engineer role focused on building cloud-based applications that use AI / LLM / agentic workflows.
Think of it like this:
• The engineer builds backend APIs mainly using Python (Golang is a bonus).
• They deploy apps on GCP (Vertex AI, Cloud Run, GKE, BigQuery).
• They must know DevOps basics: CI/CD pipelines, Kubernetes, monitoring, etc.
• They should understand microservices and how different services talk to each other.
• They’ll collaborate with AI engineers to bring AI models into real use cases.
This is a Full Stack / Backend + Cloud + DevOps + AI Integration engineer.
