Senior Backend Engineer (python)

DESCRIPTION OF TASK

Architect server-side components and services that form the backbone of web applications, employing best practices in Python programming.

• Develop and maintain RESTful APIs to facilitate seamless communication between front-end and back- end systems.

• Design, implement, and optimise database schemas and queries to ensure efficient data storage and retrieval processes.

• Manage database security measures to protect sensitive information, ensuring compliance with data protection standards.

• Enhance application performance by identifying bottlenecks and optimising server-side code and database queries.

• Implement scalable architectures to handle increased user load and data volume, leveraging cloud services and containerisation.

• Conduct regular code reviews and use vulnerability scanning tools to identify and address potential security issues.

• Implement security protocols and standards to safeguard applications against threats and ensure data privacy.

• Collaborate closely with front-end developers, UI/UX designers, product managers, and other

stakeholders to deliver quality web application solutions.

• Help translate business requirements into technical specifications and adjust implementations based on feedback.

• Set up and maintain CI/CD pipelines to automate testing and deployments, ensuring consistent and rapid delivery of applications.

• Participate in deploying applications in cloud environments, using infrastructure-as-code and

configuration management tools.

• Actively engage in debugging and resolving issues raised during testing or reported in production.

• Write technical documentation.

KNOWLEDGE AND SKILLS

Following skills and knowledge are required for the performance of the above listed tasks:

• Proficiency in Python and experience with web frameworks such as Django, Flask, or FastAPI.

• Experience with code linters and formatters (e.g., pylint, black, flake8) to enforce coding standards.

• Experience with AI-powered code assistants (e.g., Amazon Q, Github Copilot), staying updated with advancements in AI-driven code technologies that can streamline Python web application development.

• Strong understanding of RESTful design and implementation.

• Solid experience with relational (e.g., Oracle, PostgreSQL) and non-relational databases (e.g.,

Elasticsearch, MongoDB).

• Excellent knowledge of ORM, schema design, efficient queries.

• Expertise in containerisation tools like Docker, Podman and orchestration using Kubernetes.

• Knowledge of vulnerability scanning tools (e.g., OWASP), secure coding practices and standards, including authentication, authorisation and encryption.

• Knowledge of code versioning tools such as Git or SVN.

• Knowledge of DevSecOps tools such as Jenkins, GitLab CI, GitHub Actions (Continuous Integration / Deployment).

• Familiarity with configuration management tools like Ansible.

• Experience with VM management, Linux.

• Good knowledge of agile methodology