Python Full Stack developer

Career Soft Solutions, Inc.
Hartford, CT, United States
8 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Airflow Amazon Web Services Cloud Computing Continuous Integration Data Virtualization Database Design Database Queries DevOps Django Web Framework Elasticsearch Github
+24 more
Python (Programming Language) Machine Learning MongoDB NoSQL NumPy Object-Oriented Software Development Performance Tuning Redis Next.js SQL Databases Web Application Frameworks Google Cloud ReactJS Large Language Models Caching Fastapi Pandas Pyspark Kubernetes Data Management Front End Software Development Api Design Data Pipelines Docker

Requirements

  • Python Frameworks: Strong mastery of FastAPI or Django.
  • SQL: Deep understanding of database design and complex queries.
  • AI Knowledge: Basic-to-mid level understanding of ML concepts or LLM integration.
  • React: Expert proficiency in React 18+ and core hooks.
  • OOP & Functional: Dual mindset for writing clean, optimized Python code.
  • API Design: Proven experience building endpoints for high data throughput.
  • Cloud Experience: Hands-on infrastructure knowledge with Google Cloud Platform or AWS.

Good-to-Have Skills

  • Data Orchestration: Basic experience with tools like Apache Airflow.
  • Performance Optimization: Frontend data virtualization (e.g., react-window) for massive datasets.
  • NoSQL & Caching: Familiarity with Redis, MongoDB, or Elasticsearch.
  • Data Libraries: Exposure to Python tools like Pandas, NumPy, or Pydantic.
  • Next.js / Remix: Experience with modern SSR React frameworks.

Optional Skills

  • Big Data Tools: Familiarity with PySpark for large-scale processing.
  • CI/CD & DevOps: Experience with Docker, Kubernetes, and GitHub Actions.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:34 min

Bringing diverse skills to industrial data science roles

Katja Träumner

3:55 min

Demonstrating semantic routing thresholds with the Redis vector library

2:34 min

Maximizing execution memory effectively via python numpy broadcasting

Jodie Burchell · LIVE

2:37 min

Comparing traditional SQL tables versus NoSQL non-tabular databases

Stanimira Vlaeva · JS Congress

3:03 min

Expanding skills naturally toward full stack software development

Eleanor Rumsey · LIVE

3:42 min

Comparing in-memory and Redis storage for cache scalability

Simone Sanfratello · World Congress 2022

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