Python Engineer

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Position Overview

Results-driven Senior Python Engineer with 4–5 years of experience in designing, developing, and optimizing scalable backend systems using Python (FastAPI), MongoDB, and Redis. Skilled in building RESTful APIs, microservices, and event-driven applications, with hands-on expertise across AWS services including ECS, Lambda, S3, SQS, CloudWatch, and API Gateway. Adept at driving innovation, ensuring code quality, security, and performance optimization, while collaborating with cross-functional teams to deliver high-quality enterprise solutions aligned with global digital transformation initiatives.

Key Responsibilities

• Design, develop, test, and deploy scalable backend applications using Python.
• Write clean, efficient, and maintainable code following best practices.
• Develop and integrate RESTful APIs, microservices, and data pipelines.
• Collaborate with product managers, architects, and cross-functional teams to translate business requirements into technical solutions.
• Implement unit tests, CI/CD pipelines, and code reviews to ensure quality and reliability.
• Optimize system performance, troubleshoot issues, and provide production support.
• Contribute to architecture discussions and recommend improvements in design and technology stack.
• Stay updated with emerging technologies and mentor junior developers when required.

Required Qualifications & Skills

Must-have:

• Education: Bachelor's degree in computer science, Engineering, MCA
• Experience: 4–5 years of professional experience in Python backend development.
• Strong proficiency in Python - Fast API frameworks.
• Solid understanding of RESTful APIs, microservices architecture, and distributed systems.
• Proficiency in databases MongoDB,
• Proficiency in memory database like Redis.
• Experience with AWS cloud platform and containerization tools (Docker).
• Strong debugging, problem-solving, and optimization skills.
• Use AI tools
• Excellent communication, collaboration, and stakeholder engagement skills.
• Experienced in leveraging AI-powered tools like Cursor to enhance development efficiency and productivity.

Preferred:

• Knowledge of message brokers (SQS/Kafka/Celery).
• Certifications in cloud platforms, Python.
• Exposure to global enterprise projects and cross-cultural collaboration.

Skills & Attributes

• Languages & Frameworks: Python-FastAPI, RESTful APIs, Microservices
• Databases & Caching: MongoDB Atlas, Redis (ElastiCache)
• DevOps & Tools: GitHub
• Other Tools: Confluence, Jira Software
• Strategic thinking & problem-solving – ability to analyse complex problems and deliver innovative solutions.
• Adaptability & growth mindset – open to learning and embracing new technologies.
• Collaboration & stakeholder management – work effectively across teams and business units.
• Customer-centric mindset – focus on delivering scalable and reliable solutions.
• Integrity & strong communication – uphold ethical standards and communicate transparently.