Job closedPosted 4 months ago

Trident Staff - Python Developer

Developer
Open to offers Canada only
Twine JobsVerified
Stretford, United Kingdom · Organization
Recently active

Developer is needed in Canada.

Client: Trident Staff

Location: Calgary, AB, ca

Contract: Contract

Job Description

This is a remote position.

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.

Requirements

  • 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, NumPy, Polars), vector databases, or integrating LLM/Generative AI APIs (OpenAI, Anthropic, LangChain).
  • Cloud Infrastructure: Strong hands-on proficiency with AWS ecosystems, including AWS Lambda, ECS/EKS, S3, RDS, IAM, and Infrastructure as Code (Terraform or AWS CDK).
  • DevOps & Tooling: Thorough understanding of modern CI/CD orchestration (GitHub Actions, GitLab CI/CD), containerization (Docker, Kubernetes), and secure credential management.
  • Development Accelerators: Familiarity with AI pair-programming tools (GitHub Copilot, Cursor) to maximize delivery efficiency.

Contract Details

  • Position Type: Contract (1 Year)
  • Pay Rate: (Incorporated)
  • Candidates must be currently located in Canada and possess valid Canadian work authorization.

Key Responsibilities

  • 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 modern AWS serverless and containerized environments.
  • DevOps & 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.

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