W3Global

Lead Python Engineer

W3GlobalContract
Texas
10 - 20 YearsFeb 10th, 2026
79 ViewsBe an Early Applicant
Required Skillset:
PythonDjangoPandasFlaskAzure BlobAzure FunctionsSQLFastAPIAzure DevOpsNumPyFlask-JinjaAzure Active Directory (MSAL SDK)SQLAlchemy

Job Description

Title: Lead Python Engineer

Location: Dallas, TX Hybrid: Yes, 2 days a week

Candidate should be working from Client office

Skills: Python web development, Flask, Django, SQL, any one front-end skill (Angular / React) 

Mandatory test: Hacker Rank test

 

Job Description

Hands-on Technical Architect with a strong foundation in Python-based web application architecture and a comprehensive understanding of cloud infrastructure, deployment pipelines, and DevOps practices. You will lead the end-to-end design, development, and delivery of scalable applications using modern technologies across the frontend, backend, and cloud ecosystem.

Roles & Responsibilities

  • Architect, design, and oversee development of cloud-native, full-stack applications.
  • Lead backend development using FastAPI, Flask, Django REST Framework.
  • Guide frontend architecture with Django Templates, and Flask-Jinja.
  • Define deployment architecture and CI/CD pipelines on Azure DevOps or equivalent platforms.
  • Set up and manage cloud infrastructure on Microsoft Azure, including SQL DB, Azure Blob, Azure Monitor, Azure Functions, and Azure Active Directory (MSAL SDK).
  • Collaborate with DevOps engineers to implement infrastructure as code
  • Lead implementation of monitoring, logging, and alerting for system reliability and observability
  • Design and enforce scalable authentication and authorization strategies using Azure AD.
  • Provide technical mentorship to development teams and ensure adherence to best practices.
  • Translate business needs into technical architecture and implementation roadmaps.
  • Drive automation using tools like Celery, custom workflow engines, and Azure serverless functions.
  • Lead system integration and data management using SQLAlchemy, Django ORM, pyodbc, Pandas, and NumPy.
  • Coordinate document automation using libraries like python-docx, openpyxl, ReportLab, and Aspose.

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