Python Developer

Company Description

CallDK specializes in delivering expert AWS consultation services, helping organizations and individuals optimize their use of Amazon Web Services (AWS). With a focus on architecture design, cost optimization, and security compliance, CallDK offers tailored solutions that prioritize scalability, performance, and reliability. The company also provides services in MySQL database optimization, EC2 server load optimization, and application development using CakePHP, CodeIgniter, Laravel, and Core PHP. Leveraging deep expertise and certifications, CallDK empowers clients to maximize efficiency and leverage the full potential of AWS cloud services.

About the Role :

We are seeking a talented Python Developer to join our growing engineering team. The ideal candidate will have a strong foundation in Python development and a passion for building scalable, efficient applications. This role offers the opportunity to work on challenging projects and contribute to innovative solutions.

Key Responsibilities

Design, develop, and maintain robust Python applications and services

Write clean, maintainable, and efficient code following best practices

Collaborate with cross-functional teams to define, design, and ship new features

Participate in code reviews and contribute to technical documentation

Debug and troubleshoot issues across the application stack

Optimize application performance and ensure scalability

Contribute to architectural decisions and technical strategy

Required Qualification :

2+ years of professional experience in Python development

Strong proficiency in Python and its ecosystem (Django, Flask, FastAPI, etc.)

Experience with RESTful APIs and web services

Solid understanding of object-oriented programming and design patterns

Familiarity with version control systems (Git)

Experience with SQL and NoSQL databases

Strong problem-solving skills and attention to detail

Excellent communication and teamwork abilities

Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)

Additional Specification (Preffered)

Experience with AI / ML technologies and frameworks (TensorFlow, PyTorch, scikit-learn, etc.)

Knowledge of machine learning algorithms and data science workflows

Experience with data processing and analysis libraries (Pandas, NumPy)

Familiarity with cloud platforms (AWS, GCP, Azure)

Understanding of containerization (Docker, Kubernetes)

Experience with CI / CD pipelines

Knowledge of microservices architecture

Contributions to open-source projects