Full Stack Developer

Summary
We are looking for a highly skilled Senior Python Full Stack Engineer to architect, develop, and scale enterprise-grade automation systems. This role emphasizes building reusable data-processing frameworks, integrating cloud and business data, and delivering web applications and APIs that enhance operational efficiency and support data-driven decisions. The successful candidate blends strong software engineering, data engineering, and cloud integration experience, along with the capability to convert business needs into secure, scalable, production-ready technical solutions.

Job Responsibilities:

• Engineering & Automation: Create and implement scalable automation solutions with Python. Build reusable data-processing frameworks and pipelines for enterprise workflows. Develop and maintain web applications, APIs, and services using React, FastAPI, Node.js, and current engineering approaches. Build and support batch-processing and scheduled automation workloads.
• Cloud, Data & Enterprise Integration: Connect Azure services, cloud APIs, databases, enterprise datasets, and business applications. Implement data validation, exception handling, traceable calculation logic, audit history, logging, monitoring, and performance optimization. Create solutions addressing cloud cost, audit, compliance, and data-reconciliation requirements. Use authentication, authorization, secrets management, privileged access, and role-based access control practices.
• Delivery & Operations: Work with business stakeholders to convert requirements into technical designs and scalable solutions. Support production releases, troubleshooting, and ongoing continuous improvement efforts. Help implement CI/CD, automated testing, source control, and release management. Produce and maintain technical documentation, operational runbooks, and deployment guides.

Required Skills:

• 5 years of hands-on Python development experience.
• Hands-on experience with React, FastAPI, and Node.js for web applications, APIs, and automation platforms.
• Strong experience with data engineering, SQL, relational databases, APIs, JSON, and batch processing.
• Experience integrating Azure services, cloud APIs, and enterprise datasets.
• Strong understanding of data validation, exception handling, logging, scheduling, monitoring, and performance optimization.
• Experience building reusable data-processing frameworks and production-grade automation solutions.
• Familiarity with GitHub, source control, CI/CD concepts, testing, and deployment practices.
• Ability to translate business requirements into technical designs and scalable solutions.

Preferred Qualifications:

• Azure Development or Data Engineering certification.
• Experience with cloud governance, operational automation, or enterprise platforms.
• Experience with containerization, Azure Functions, App Services, Logic Apps, or comparable cloud-native services.
• Knowledge of Power BI datasets, semantic models, and enterprise reporting solutions.
• Experience with GitHub Actions, Azure DevOps pipelines, monitoring tools, and production support processes.
• Experience building cloud cost, audit, compliance, or data-reconciliation applications with traceable calculation logic and audit history.
• Understanding of FinOps and cloud billing concepts, including rightsizing, reservations, and savings plans.
• Experience with enterprise security and IAM practices, including authentication, authorization, privileged access, secrets management, and role-based access control.

Education & Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline, or equivalent practical experience.