Role & Responsibilities:

- Design and architect scalable, secure, and high-performance applications using Python and modern backend technologies.
- Define overall application architecture, technical standards, coding practices, and development guidelines.
- Lead the design and development of RESTful APIs, microservices, and distributed systems.
- Evaluate and select appropriate Python frameworks such as Django, FastAPI, Flask, or similar technologies based on business and technical requirements.
- Design database architecture and data-access strategies using PostgreSQL, MySQL, MongoDB, or other suitable databases.
- Develop solutions that are scalable, highly available, fault-tolerant, and maintainable.
- Review existing applications and recommend architecture modernization, performance improvements, and technical debt reduction.
- Establish best practices for Python development, testing, logging, monitoring, security, and code quality.
- Conduct architecture and code reviews and provide technical guidance to development teams.
- Work closely with product managers, business stakeholders, DevOps, QA, and other engineering teams to translate requirements into technical solutions.
- Design and implement integrations with third-party APIs, enterprise systems, messaging platforms, and cloud services.
- Drive adoption of CI/CD, automated testing, containerization, and DevOps practices.
- Work with cloud platforms such as AWS, Azure, or GCP to design and deploy scalable solutions.
- Identify performance bottlenecks and implement appropriate caching, asynchronous processing, database optimization, and concurrency strategies.
- Ensure applications meet organizational requirements for security,



compliance, reliability, and observability.
- Mentor senior developers and engineers and contribute to technical decision-making and architecture documentation.
- Stay current with emerging technologies in Python, cloud computing, AI/ML, distributed systems, and software architecture.

Preferred Candidate Profile:

- 8 - 10 years of professional software development experience, with strong hands-on experience in Python.
- Proven experience designing and implementing enterprise-grade applications and scalable backend systems.
- Strong knowledge of Python programming, OOP, design patterns, SOLID principles, and clean architecture.
- Robust experience with one or more Python frameworks such as FastAPI, Django, or Flask.
- Hands-on experience with REST APIs, microservices, distributed systems, and asynchronous programming.
- Strong understanding of SQL and NoSQL databases, database design, indexing, query optimization, and data modeling.
- Experience with AWS, Azure, or GCP, including cloud-native architecture and deployment.
- Good understanding of Docker, Kubernetes, CI/CD, Git, and infrastructure automation.
- Experience with messaging/event-driven technologies such as Kafka, RabbitMQ, SQS, or similar platforms.
- Strong knowledge of automated testing, including unit, integration, and API testing using tools such as PyTest.
- Experience with system design, architecture documentation, scalability, performance optimization, and security best practices.
- Familiarity with Redis or other caching technologies and background/async processing frameworks.
- Experience working in Agile/Scrum or similar software-development environments.

📌 Python Architect - Django/Flask (India)
🏢 Good
📍 India