Senior Python Developer

JobCubby; Hinoba-an; On-site; PHP 1,200,000 - 2,000,000; Full time

Job summary

JobCubby is seeking an experienced Python Developer to design, build, and maintain scalable backend services in a fast-paced environment. You will contribute to API development, microservices, and data-driven solutions, collaborating with cross-functional teams across the stack.

The role requires 7+ years of Python experience, strong knowledge of frameworks, databases, and cloud platforms, and a commitment to coding standards, testing, and Agile practices.

Qualifications

• 7+ years of hands-on experience in Python development.
• Strong knowledge of Python 3.x, OOP, data structures, exception handling, and design patterns.
• Experience with Django, Flask, or FastAPI.
• REST API development and microservices architecture experience.
• Proficiency in SQL with PostgreSQL/MySQL/Oracle.
• Experience with NoSQL databases (MongoDB, Redis, DynamoDB) is a plus.
• Version control with Git and familiarity with CI/CD.
• Cloud exposure (AWS/Azure/GCP) and containerization with Docker/Kubernetes.

Responsibilities

• Design, develop, and maintain scalable Python applications.
• Develop and integrate RESTful APIs and microservices.
• Translate requirements into robust technical solutions with clean, tested code.
• Collaborate with frontend, QA, DevOps, and architects in an Agile environment.
• Support CI/CD pipelines and application deployments across environments.

Skills

Python expert

REST API design

Django/Flask/FastAPI

SQL databases

NoSQL databases

Docker/Kubernetes

CI/CD practices

Cloud platforms

Education

Bachelor's or Master's in CS/IT

Tools

Git

Docker

Kubernetes

AWS/GCP/Azure

Job description

Overview

We are looking for an experienced Python Developer with 7+ years of experience in designing, developing, and maintaining scalable applications and backend services. The candidate should have strong expertise in Python development, API development, database technologies, cloud platforms, and software engineering best practices.

Responsibilities

Key Responsibilities

• Design, develop, and maintain scalable applications using Python.
• Develop and integrate RESTful APIs and microservices.
• Analyze business and technical requirements and translate them into robust technical solutions.
• Write clean, maintainable, reusable, and well-tested code.
• Work with relational and NoSQL databases and optimize queries and application performance.
• Participate in application architecture and technical design discussions.
• Perform code reviews and ensure adherence to coding and development standards.
• Troubleshoot production issues and provide effective root-cause analysis and resolution.
• Develop unit and integration tests and ensure good code coverage.
• Collaborate with frontend developers, QA engineers, DevOps teams, architects, and business stakeholders.
• Participate in Agile/Scrum ceremonies and contribute to continuous improvement initiatives.
• Support CI/CD pipelines and application deployments across environments.

Qualifications

Required Technical Skills

• 7+ years of hands-on experience in Python development.
• Strong knowledge of Python 3.x, OOP, data structures, exception handling, and design patterns.
• Strong experience with frameworks such as Django, Flask, or FastAPI.
• Strong experience in REST API development and microservices architecture.
• Good knowledge of SQL and databases such as PostgreSQL, MySQL, or Oracle.
• Experience with NoSQL databases such as MongoDB, Redis, or DynamoDB is preferred.
• Experience with Git and version-control practices.
• Good understanding of Docker and Kubernetes.
• Experience with CI/CD tools and DevOps practices.
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Strong understanding of software development lifecycle, Agile methodologies, and coding standards.

Preferred / Good-to-Have Skills

• Experience with AWS/Azure/GCP cloud-native services.
• Knowledge of Kafka or other messaging/streaming platforms.
• Experience with Celery, RabbitMQ, or asynchronous programming.
• Knowledge of automated testing frameworks such as PyTest or unittest.
• Exposure to Terraform or Infrastructure as Code.
• Experience working with large-scale, high-volume applications.
• Knowledge of AI/ML, GenAI, or data engineering is an added advantage.

Soft Skills

• Strong analytical and problem-solving skills.
• Good communication and interpersonal skills.
• Ability to work independently and collaboratively in a distributed team.
• Strong ownership and accountability.
• Ability to mentor junior developers and provide technical guidance.

Good stakeholder management skills.

Education

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.