Python Developer

Role Overview

We are seeking a Senior Python Developer with 8+ years of experience to design, develop, and maintain high-performance backend systems, automated workflows, and data processing pipelines. In this role, you will evaluate existing application architectures and implement scalable cloud solutions that support our enterprise data strategies.

• Position Type:
  Contract (1 Year)
• Location:
  
  Calgary, AB (Onsite)
• Pay Rate: (Incorporated + GST)

• Backend & API Development:
  Design, build, and maintain robust, scalable RESTful and GraphQL APIs and backend services using frameworks such as FastAPI, Flask, or Django.
• Data Engineering & Automation:
  Architect complex data processing pipelines, data transformation layers, and automation scripts to optimize large-scale data workflows and system performance.
• Cloud Infrastructure:
  Deploy, manage, and optimize cloud-native solutions, leveraging up-to-date AWS serverless and containerized environments.
• Dev Ops & Quality Engineering:
  Build and maintain CI/CD deployment pipelines, manage infrastructure as code, and enforce automated testing practices to ensure code quality and system reliability.
• AI & Engineering Practices:
  Leverage modern AI-assisted development tools to accelerate feature implementation while enforcing strict security, performance, and code quality standards.

• Experience:
  
  Minimum 8+ years of professional software development experience, with a heavy focus on enterprise-grade Python application development.
• Frameworks &
  
  Languages:
  
  Mastery of Python, asynchronous programming, and deep experience working with modern frameworks like FastAPI, Django, or Flask.
• Modern Data & AI Stack:
  Hands-on experience with advanced data processing libraries (Pandas, Num Py, Polars), vector databases, or integrating LLM/Generative AI APIs (OpenAI, Anthropic, Lang Chain).
• Cloud Infrastructure:
  Robust hands-on proficiency with AWS ecosystems, including AWS Lambda, ECS/EKS, S3, RDS, IAM, and Infrastructure as Code (Terraform or AWS CDK).
• Dev Ops & Tooling:
  Thorough understanding of modern CI/CD orchestration (Git Hub Actions, Git Lab CI/CD), containerization (Docker, Kubernetes), and secure credential management.
• Development Accelerators:
  Familiarity with AI pair-programming tools (Git Hub Copilot, Cursor) to maximize delivery efficiency.