16 sep
|
Jobtailor
|
Buenos Aires
16 sep
Jobtailor
Buenos Aires
Develop clean, maintainable, and efficient Python code for high-scale content platforms and data-intensive applications
Assist in building and deploying AI features, including RAG pipelines and LLM integrations using Vertex AI
Design and configure scalable backend architectures on Google Cloud Platform using Cloud Run, GKE, and Cloud Functions
Participate in creating Technical Design Documents and translating business requirements into backend components
Manage the full code lifecycle from local development to production using Terraform and CI/CD pipelines
Collaborate with US-based product owners and European delivery teams
Apply best practices in API design, security, and automated testing
Develop and maintain backend systems powering AI-driven enterprise applications for North American clients
Requirements
2-3 years of professional experience in backend development, or relevant academic/project experience with a strong interest in backend engineering and web services
Good understanding of Python
Familiarity with web frameworks such as FastAPI, Flask, or Django
Basic understanding of asynchronous programming is a plus
Basic understanding or hands-on exposure to Google Cloud Platform
Familiarity with Cloud Run, App Engine, BigQuery, or Cloud SQL is a plus
Interest in AI/ML technologies and curiosity about integrating LLMs into applications
Exposure to LLMs, APIs, or vector databases is a plus
Basic understanding of Docker
Familiarity with cloud-based development environments
Exposure to Kubernetes or Terraform is a plus
Good English communication skills
Ability to collaborate effectively with team members and ask questions when needed
Flexibility for early-morning syncs
Core Competencies
Proficient in developing scalable backend architectures and efficient Python code for data-intensive applications, with a strong focus on AI feature integration and cloud technologies. Demonstrates effective collaboration and communication skills while managing the full code lifecycle and adhering to best practices in API design and automated testing.
Highest-signal resume keywords
Python Development
Google Cloud Platform
Backend Architecture Design
Terraform
API Design
ATS Optimization Keywords
Hard Skills
Backend Development
Asynchronous Programming
Web Frameworks
AI/ML Integration
Docker
Kubernetes
CI/CD Pipelines
Technical Design Documentation
Automated Testing
RAG Pipelines
Soft Skills
Effective Collaboration
Good English Communication
Flexibility
Industry Keywords
AI-Driven Applications
Data-Intensive Applications
Enterprise Applications
North American Clients
Tools & Technologies
Cloud Run
GKE
Cloud Functions
FastAPI
Flask
Django
BigQuery
Cloud SQL
App Engine
Cloud-Based Development Environments
#J-*****-Ljbffr
📌 Python Software Engineer (Buenos Aires)
🏢 Jobtailor
📍 Buenos Aires