Trident Staff - Python Developer
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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