Python Fullstack Developer @ Infobeans

What will your role look like

• Design, develop, and maintain scalable full-stack applications using Python (backend) and JavaScript frameworks (frontend).
• Deploy, manage, and optimize applications on Azure cloud services.
• Build and streamline ETL pipelines, data workflows, and integrations (experience with Databricks is a plus).
• Collaborate closely with product managers, architects, and data engineers to deliver robust and high-performing solutions.
• Implement coding best practices with a focus on testing, security, and performance optimization.
• Troubleshoot, debug, and enhance existing systems for scalability and efficiency.

Why you will love this role

• Opportunity to work on modern full-stack development with direct exposure to cloud-native applications.
• Be part of a collaborative and agile environment where innovation, problem-solving, and ownership are encouraged.
• Gain hands-on experience with Azure services and big data technologies that are shaping the future of enterprise applications.
• Work on impactful projects with the potential to transform processes in industries such as banking, payments, and compliance.
• Competitive compensation, continuous learning opportunities, and a culture that rewards technical excellence and teamwork.

We would like you to bring along

• Strong expertise in Core Python (OOPs, APIs, scripting, backend development).
• Proficiency in JavaScript (React or Angular preferred).
• Proven hands-on experience with Azure cloud services (App Services, Azure Functions, Data Factory, Storage, etc.).
• Solid understanding of SQL, RESTful APIs, and microservices design.
• Familiarity with Git, CI/CD pipelines, and Agile methodologies.
• Strong problem-solving skills and the ability to collaborate in cross-functional teams.
• Bachelors or Masters degree in Computer Science, IT, or related field.

Good-to-have skills

• Experience with Azure Databricks for ETL and data workflows.
• Exposure to big data frameworks, Spark, or distributed data processing.
• Familiarity with containerization and orchestration tools (Docker, Kubernetes).
• Knowledge of performance tuning and scalability in cloud environments.
• Experience with banking domain applications such as retail banking, payments, risk, or compliance.