Python Engineer

We are seeking an experienced Senior Python Engineer to design, build, and maintain scalable, high-quality software systems. This role requires strong expertise in Python, system design, and modern backend technologies. The ideal candidate will take ownership of complex features, mentor other engineers, and work closely with cross-functional teams to deliver reliable and performant solutions., Design, develop, and maintain scalable Python-based applications and services

Lead technical design and architecture discussions for complex systems

Write clean, efficient, and maintainable code following best practices

Conduct code reviews and provide technical mentorship to junior and mid-level engineers

Collaborate with product, DevOps, QA, and architecture teams

Optimize performance, scalability, and reliability of applications

Troubleshoot and resolve complex production issues

Build and enhance automated testing frameworks

Support CI/CD pipelines and modern DevOps workflows

Ensure compliance with security, data, and quality standards

Bachelor’s degree in Computer Science, Engineering, or equivalent experience

8+ years of professional software development experience

Strong proficiency in Python and object-oriented programming

Experience with at least one major Python web framework (Django, Flask, or FastAPI)

Strong understanding of RESTful API design and development

Experience with relational databases (PostgreSQL, MySQL, Oracle) and SQL

Familiarity with NoSQL databases (MongoDB, DynamoDB, Redis)

Solid knowledge of asynchronous processing and multithreading/multiprocessing concepts

Experience with Git and modern version control workflows

Preferred Qualifications

Experience with cloud platforms (AWS, Azure, or Google Cloud Platform)

Familiarity with containerization and orchestration tools (Docker, Kubernetes)

Experience with data pipelines, ETL processes, or distributed systems

Knowledge of messaging systems (Kafka, RabbitMQ, SQS)

Experience building microservices and event-driven architectures

Exposure to data science, machine learning, or AI platforms is a plus Testing & Quality

Strong experience with testing frameworks (pytest, unittest, nose)

Familiarity with test automation, integration testing, and performance testing

Commitment to high code quality, reliability, and maintainability

Soft Skills

Strong problem-solving and analytical abilities

Excellent written and verbal communication skills

Ability to lead technical initiatives and influence architecture decisions

Comfortable working in fast-paced, collaborative environments

Passion for mentoring, learning, and continuous improvement