Sr. Lead Engineer - Python

Description

• Contribute to architecture and design discussions, proposing improvements for scalability, maintainability, and cost efficiency.
• Collaborate closely with product, frontend, DevOps, and data teams to refine requirements, estimate work, and deliver features iteratively.
• Participate in code reviews, provide technical guidance, and help uplift overall code quality and engineering practices.
• Implement unit, integration, and end‑to‑end tests, own debugging, performance tuning, and reliability improvements in production systems.
• Build and optimize data models and integrate with relational and NoSQL databases, design efficient queries and data access layers.
• Design, develop, and maintain robust, scalable, and secure backend services and APIs using Python and modern frameworks (e.g., Django, Flask, FastAPI).
• Integrate third‑party services, internal APIs, and data sources, ensuring reliability, security, and observability.
• Write clean, efficient, reusable, and well‑documented code, following best practices, coding standards, and design patterns.

Requirements

• Strong proficiency in Python, including OOP, data structures, error handling, and asynchronous programming.
• Exposure to containers and orchestration (Docker, Kubernetes) for deploying and scaling services.
• Experience with frontend technologies (React, Vue, or basic JavaScript/HTML/CSS) for better end‑to‑end collaboration.
• Ability to translate complex business requirements into scalable architecture designs.
• 8-12 years of hands‑on experience as a Python Developer or Software Engineer, with production systems in a team environment.
• Excellent communication and stakeholder management skills.
• Solid experience with at least one major web framework such as Django, Flask, or FastAPI, including building RESTful APIs.
• Familiarity with data processing and analytics libraries or ecosystems (Pandas, NumPy, Spark) or basic ML workflows.
• Experience with caching, message queues, and background job processing.
• Experience working in regulated or compliance-heavy environments is a plus.
• Strong problem‑solving skills, ability to debug complex issues, and communicate technical concepts clearly to non‑technical stakeholders.
• Experience with cloud platforms and services (Azure, AWS or GCP), including deployment, monitoring, and logging.
• Should have good experience in working on Agile methodology
• Comfortable with writing automated tests (pytest, unittest) and working with CI/CD pipelines.
• Good understanding of authentication/authorization, security best practices, and data protection in web applications.
• Proficiency with Git and common workflows (feature branches, pull requests, code reviews) and experience in Agile/Scrum teams.
• Strong analytical mindset with a problem-solving orientation. Ability to communicate effectively with both technical teams and business stakeholders.
• Strong knowledge of relational databases (e.g., PostgreSQL, MySQL).

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance