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Purple Drive

Senior Python Developer Azure Cloud & MongoDB Expert

Purple Drive, Dallas, Texas, United States, 75215

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Job Description:

We are seeking a highly skilled

Senior Python Developer

with deep expertise in

cloud-native application design, MongoDB, and Microsoft Azure . The ideal candidate will be responsible for architecting, developing, and optimizing scalable data-driven applications while leading best practices in performance, reliability, and automation.

Key Responsibilities:

Application Development:

Design, develop, and maintain robust Python applications using frameworks such as

Flask

or

Django . Implement RESTful APIs, backend services, and data-driven functionalities. Ensure high performance, scalability, and security in all code deliverables.

Database Management:

Design and optimize

MongoDB

schemas, queries, and indexes for large-scale datasets. Manage data modeling, migration, and performance tuning activities.

Cloud Architecture & Deployment:

Architect and deploy applications in a

cloud-native Azure environment . Work with

Azure services

such as

Azure Data Factory (ADF) ,

Azure Functions ,

Azure App Service , and

Azure Storage . Implement CI/CD pipelines and automation tools for efficient deployments.

Integration & Workflow Automation:

Utilize

Control-M

for scheduling and orchestration of workflows. Integrate with third-party APIs and cloud-based systems.

Leadership & Collaboration:

Provide technical guidance, mentoring, and code reviews for junior developers. Collaborate with cross-functional teams including DevOps, data engineers, and product managers. Contribute to architectural decisions and long-term technical strategies.

Required Skills & Experience:

8+ years

of professional software development experience. Expert-level proficiency in Python

and frameworks such as

Flask

or

Django . Extensive experience with

MongoDB , including schema design, query optimization, and performance tuning. Hands-on expertise in

Microsoft Azure

services (ADF, Azure Functions, App Service, Azure Storage). Strong understanding of

data modeling, database design, and cloud-native architectures . Experience with

Control-M

or similar workflow automation tools. Excellent communication, leadership, and problem-solving skills. Preferred Qualifications:

Experience with containerization (Docker, Kubernetes). Familiarity with CI/CD pipelines and Infrastructure-as-Code (IaC) tools. Knowledge of other databases (SQL, PostgreSQL) and data pipeline tools. Azure certifications are a plus.