Software Development Test Engineer - Python

Accountabilities:

• • Design, develop, and maintain clean, scalable, and secure Python code for backend services and microservices.
  • Build, integrate, and document secure RESTful and/or GraphQL APIs.
  • Develop and maintain automated testing frameworks covering unit, integration, backend, UI, and end-to-end testing.
  • Create scalable automated test suites using tools such as pytest, unittest, Selenium, and, where applicable, Playwright.
  • Integrate automated tests into CI/CD pipelines to support continuous integration and deployment.
  • Identify, reproduce, document, and track software defects, collaborating with development teams to ensure timely resolution.
  • Participate in code reviews and promote high standards for Python development, including PEP 8 compliance, maintainability, security, and clean coding practices.
  • Write and optimize complex queries across relational and NoSQL databases to support application development and testing.
  • Contribute to improving test automation architecture, coverage, reliability, and execution efficiency.
  • Explore and apply AI-assisted testing tools and frameworks where they can improve testing productivity and effectiveness.
  • Collaborate with engineering, QA, DevOps, and product stakeholders throughout the software development lifecycle.
  • Work within Agile/Scrum processes, participating in planning, reviews, retrospectives, and other team activities.
  • Support continuous improvements to development and quality processes, tooling, and automation practices.

  Requirements:

  • 3–5 years of professional experience in software development and test automation, with at least 3 years of hands-on Python development.
  • Strong knowledge of core Python and object-oriented programming principles.
  • Practical experience with at least one major Python web framework, such as FastAPI, Django, or Flask.
  • Strong experience with automated testing frameworks and tools such as pytest, unittest, and Selenium; Playwright experience is a plus.
  • Experience designing and maintaining automated test suites across unit, integration, UI, backend, and end-to-end testing.
  • Solid understanding of RESTful and/or GraphQL API development, integration, testing, and documentation.
  • Strong database skills, including the ability to write complex queries for relational databases such as PostgreSQL or MySQL and/or NoSQL databases such as MongoDB.
  • Proficiency with Git and experience integrating automated testing into CI/CD platforms such as Jenkins, GitHub Actions, or GitLab CI.
  • Experience working in Agile/Scrum development environments and familiarity with collaboration tools such as Jira or Confluence.
  • Strong understanding of software quality, debugging, defect management, maintainability, and secure development practices.
  • Ability to work effectively across development and quality-assurance functions and communicate technical issues clearly.
  • Strong analytical and problem-solving skills, with a proactive approach to identifying defects and improving test coverage.
  • Experience with Docker and Kubernetes is preferred.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP is preferred.
  • Knowledge of performance and load-testing tools such as Locust or JMeter is a plus.
  • Experience with AI-assisted testing tools or frameworks is a plus.

  Benefits:

  • Competitive compensation: Salary package aligned with experience and market standards.
  • Healthcare: Medical insurance and healthcare benefits for employees and their families.
  • Life insurance: Fully paid life insurance premiums and group term life insurance coverage.
  • Flexible working: Flexible working hours designed to support work-life balance.
  • Paid time off: PTO to support personal time, rest, and wellbeing.
  • Gym reimbursement: Financial support for fitness and wellness activities.
  • Childcare reimbursement: Assistance with eligible childcare expenses.
  • Technical growth: Opportunity to work across backend development, test automation, APIs, databases, DevOps, and cloud technologies.
  • Collaborative environment: Work with cross-functional engineering and quality teams in an Agile setting.
  • Engineering impact: Contribute directly to software reliability, development velocity, and customer-facing product quality.