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.

- Strong 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.