Job Description Senior Python Full-Stack Developer

Job Title: Senior Python Developer / Full-Stack Engineer
Location: 100% Remote
Duration: 6+ Month Contract
Start Date: ASAP

Position Overview

We are seeking a hands-on Senior Python Developer / Full-Stack Engineer to design, develop, and support modern cloud-based applications. This role requires more than strong coding skills-the successful candidate will work directly with business teams to understand requirements, translate business needs into technical solutions, and contribute to application architecture and solution design.

The ideal candidate is a versatile full-stack/"jack-of-all-trades" engineer who is comfortable working across backend development, frontend applications, databases, cloud services, APIs, security, and DevOps. Experience working in small to mid-sized organizations, where engineers routinely take broad ownership of solutions, is highly desirable.

Key Responsibilities

  • Design, develop, test, and maintain scalable applications using Python.
  • Build and maintain modern web applications using React; Angular or Vue experience will also be considered.
  • Design and develop backend services, APIs, and application integrations.
  • Work directly with business stakeholders to gather and understand requirements and translate them into practical technical solutions.
  • Participate in solution architecture and application design, including technology selection, integration patterns, data architecture, and scalability considerations.
  • Develop cloud-based applications using Microsoft Azure or comparable cloud platforms.
  • Design and integrate applications with NoSQL databases such as Azure Cosmos DB or comparable technologies.
  • Develop secure APIs and integrations using modern authentication and authorization approaches.
  • Participate throughout the complete software development lifecycle, from requirements and architecture through development, testing, deployment, and production support.
  • Troubleshoot application, integration, database, cloud, and performance issues.
  • Work with DevOps teams and tools to support automated builds, testing, deployments, and CI/CD pipelines.
  • Collaborate closely with business, product, engineering, and technical stakeholders in a fast-moving environment.
  • Contribute to applications incorporating AI/LLM capabilities where appropriate.

Required Qualifications

  • Strong professional development experience with Python.
  • Hands-on full-stack web application development experience.
  • Strong experience with React; candidates with Angular or Vue experience will also be considered.
  • Hands-on experience with Microsoft Azure or another major cloud platform such as AWS or GCP.
  • Experience working with databases, preferably NoSQL technologies.
  • Experience with Cosmos DB is preferred, but MongoDB, DynamoDB, or comparable NoSQL experience is acceptable.
  • Strong experience designing and developing APIs and application integrations.
  • Understanding of modern software architecture and application design principles.
  • Experience working across multiple layers of an application rather than within a narrowly defined development function.
  • Ability to work directly with business stakeholders, understand requirements, and independently develop appropriate technical solutions.
  • Strong troubleshooting and problem-solving skills.
  • Excellent communication skills and ability to operate effectively with limited oversight.

Preferred / Nice-to-Have Skills

  • GitHub and modern source-control practices.
  • Databricks experience.
  • Healthcare industry experience strong plus.
  • Application security fundamentals.
  • Experience with OAuth 2.0, OpenID Connect (OIDC), tokens, and secure API authentication.
  • Experience with AI/Generative AI technologies, including:
    • LLM-based applications
    • LangChain
    • Microsoft Copilot
    • Azure AI Foundry
  • Understanding of DevOps and CI/CD pipelines.
  • Experience building and deploying cloud-hosted web applications.
  • Experience integrating AI capabilities into enterprise applications.
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