Description

Key Responsibilities

• Design, develop, test, and deploy scalable Python based applications and services
• Write clean, maintainable, and well documented code following best practices
• Design and optimize database schemas and queries
• Build and consume RESTful APIs and/or GraphQL services
• Collaborate with cross functional teams (product, QA, DevOps, front end) to define and deliver features
• Identify and fix bugs, bottlenecks, and performance issues
• Participate in code reviews and enforce coding standards
• Write unit, integration, and end to end tests to ensure code quality
• Contribute to architecture and technical design discussions
• Automate deployment pipelines and support CI/CD processes
• Mentor junior developers and support knowledge sharing across the team
• Stay current with emerging technologies and recommend improvements

Mandatory Skills

• 8+ years of professional software development experience with Python
• Strong proficiency in core Python (Python 3.x), including OOP concepts, data structures, and algorithms
• Solid experience building and consuming RESTful APIs
• Strong understanding of relational databases (PostgreSQL, MySQL) and SQL query writing/optimization
• Experience with version control systems, primarily Git
• Proficiency in writing unit tests and using testing frameworks (pytest, unittest)
• Experience with asynchronous programming (asyncio, async/await)
• Solid understanding of software design patterns and clean code principles
• Experience with containerization (Docker) and basic orchestration concepts
• Strong debugging, problem solving, and performance optimization skills
• Experience working in Agile/Scrum development environments

Preferred Skills

• Experience with cloud platforms (AWS) and cloud native application development
• Familiarity with message queues/streaming platforms (Kafka, Redis Streams)
• Experience with NoSQL databases
• Exposure to CI/CD tools (Jenkins, GitLab CI, GitHub Actions)
• Experience with Infrastructure as Code (Terraform, Ansible) and Kubernetes
• Knowledge of data engineering tools/libraries (Pandas, NumPy, Airflow, Spark)
• Experience with front end basics (JavaScript, React) for full stack collaboration
• Familiarity with microservices architecture
• Understanding of security best practices (OAuth2, JWT, data encryption)
• Contributions to open source projects
• Relevant certifications (AWS Certified Developer, Python Institute certifications, etc.)

Education

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

Key Skills

Education

Bachelor's degree