Job description

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.

Requirements