Appglide - Python Solution Engineer - Flask/Django Frameworks

Key Responsibilities :

Solution Design & Development :

- Analyze business requirements and translate them into scalable Python-based solutions.

- Design, develop, and maintain Python applications, services, and APIs for diverse use cases.

- Build modular, reusable, and efficient code following best practices and coding standards.

- Develop automation scripts and tools for workflows, data processing, and system integrations.

Integration & Architecture :

- Architect and implement integrations between enterprise systems, SaaS platforms, and databases.

- Work with RESTful and GraphQL APIs, WebSockets, and message queues (Kafka, RabbitMQ, etc.

- Collaborate with architects to design scalable, secure, and cloud-ready solution architectures.

Performance Optimization & Testing :

- Debug, troubleshoot, and optimize Python applications for performance, reliability, and scalability.

- Implement automated testing frameworks (unit, integration, regression) for high-quality code delivery.

- Conduct code reviews, enforce quality standards, and mentor junior engineers where required.

Deployment & Support :

- Collaborate with DevOps to containerize Python solutions using Docker/Kubernetes.

- Deploy solutions on cloud platforms (AWS, Azure, GCP) ensuring high availability and resilience.

- Monitor system performance, troubleshoot production issues, and implement fixes.

Collaboration & Stakeholder Management :

- Work closely with product managers and business stakeholders to align solutions with goals.

- Document technical designs, workflows, and APIs for internal and external stakeholders.

- Provide technical guidance and support during solution adoption and post-deployment phases.

Required Skills & Qualifications :

- Bachelors or Masters degree in Computer Science, Engineering, or a related field.

- Strong expertise in Python frameworks such as Django, Flask, or FastAPI.

- Hands-on experience with databases (SQL & NoSQL PostgreSQL, MySQL, MongoDB, Redis).

- Proficiency in building and consuming RESTful/GraphQL APIs.

- Familiarity with cloud platforms (AWS Lambda, EC2, Azure Functions, GCP Cloud Run).

- Experience with containerization & orchestration (Docker, Kubernetes).

- Strong knowledge of software architecture, design patterns, and system integration.

- Solid understanding of CI/CD pipelines, Git, and DevOps practices.

- Experience with data processing libraries (Pandas, NumPy) or ML pipelines (preferred).

- Excellent problem-solving skills, communication abilities, and collaborative mindset.

Good to Have (Preferred Skills) :

- Exposure to serverless computing and microservices architecture.

- Knowledge of security best practices in Python development.

- Experience with front-end integration (React, Angular) for full-stack capabilities.

- Domain knowledge in FinTech, Healthcare, Retail, or SaaS industries