We are looking for a Senior Python Developer with 4+ years of experience to build the most amazing product experience. You’ll get to work with other engineers to build a delightful feature experience to understand and solve our customer’s pain points

We are looking for a Senior Python developer to join an agile development team to engineer new product features using Python based stack – Python3 and Flask. You will act as a Python SME, working with other team members to create & define APIs, streamline & optimize code, & integrate open-source libraries. 

Responsibilities

• Building efficient and reusable Python API workflow components
• Developing programs to consume external hosted open API’s
• Apply Best Practice for Python to the development process
• Implement, develop, automate, and unit test business processes between various data repositories, systems and applications.
• Analyse and improve the performance, scalability, stability, and security of the code
• Improve engineering standards, tooling, and processes
• Participate in the full SDLC process using Agile methodology including discovery, inception, story and task creation, breakdown and estimation, iterative planning, development and unit testing, and release/deployment.
• Work with our DevOps team to ensure a continuous integration and deployment of developed features happen
• Packaging of solutions for deployment in various environments.
• Design & implementation of low-latency, high-availability, & performant applications
• Implementation of security & data protection.

Skills & Qualifications

• 4+ years of experience with a start-up mentality and high willingness to learn
• Strong communication skills, team player with attention to detail who is happy working in an agile development environment
• Expert in Python development using Flask framework, with experience on large scale REST API applications and business logic components
• Experience in developing scheduled jobs using APScheduler and gUnicorn
• Expert in using Python libraries and frameworks
• Experience in RDBMS & NoSQL databases
• Experience of writing Python tests using automated tasks, & enforcing code quality e.g. pytest, pylint, unittest
• Experience in developing data pipelines using Google Cloud Platform services – Google Cloud Pub-Sub and Google Dataflow
• Proficiency with SDLC tools (e.g. Confluence, JIRA, BitBucket, SourceTree)

Preferred Skills

• Experience in API documentation tools (Swagger, Postman)
• Knowledge of writing complex and efficient SQL for Postgres databases
• Documentation of technical design using standards like UML