Design, develop, and maintain an in-house Python automation framework and tooling to enable QA workflows. Build CI/CD integrations, containerized environments, refactor code for quality, troubleshoot issues, and collaborate with distributed QA and cross-functional teams to drive automation improvements.
About the role:
We are a dynamic and innovative QA Automation Team dedicated to ensuring the reliability and efficiency of our software products. Our team is distributed and has flexible work locations, with team members working in Taiwan, Europe, and America. In addition to QA Engineers, the team includes Python Engineers who focus on building and maintaining the internal automation framework, tooling, and engineering solutions that enable QA engineers to work more efficiently.
What you'll be doing:
- Framework Development: Design, develop, and continuously improve our in-house Python- based automation framework with a focus on maintainability, scalability, and developer experience.
- QA enablement: Collaborate closely with QA Engineers to understand automation challenges and build reusable framework capabilities, tooling, and engineering solution that improve productivity and software quality.
- CI/CD & Tooling: Develop and maintain CI/CD integration, internal tooling, and automation infrastructure that support QA workflows.
- Code Quality: Refactor and improve the existing codebase, emphasizing clean architecture, readability, extensibility, and long-term maintainability.
- Troubleshooting: Utilize strong troubleshooting and debugging skills to identify and resolve issues.
- Cross-Functional Collaboration: Collaborate with cross-functional teams to seamlessly integrate automation processes into the software development lifecycle.
- Ownership: Proactively identify opportunities for improvement, propose solutions, and drive technical enhancements
What you'll bring:
- Python Proficiency: 3–5 years of hands-on Python development experience with strong object-oriented programming skills.
- Software Engineering Experience: Experience developing and maintaining robust, scalable, and maintainable software systems.
- Framework Development: Experience designing or maintaining reusable frameworks, libraries, or internal developer tooling.
- CI/CD: Practical experience with CI/CD pipelines and automation (e.g. Jenkins, GitHub Actions).
- Docker: Practical experience with Docker and containerized development environments.
- Design Patterns: Familiarity with commonly used design patterns and the ability to apply them to build modular and maintainable code.
- Debugging & Troubleshooting: Strong analytical and debugging skills with the ability to investigate complex technical problems.
- Ownership & Agency: Demonstrated ability to proactively identify problems, propose improvements, and drive solutions with minimal guidance.
- Collaboration & Communication: Strong communication skills and the ability to collaborate effectively with QA Engineers and distributed cross-functional teams.
- English Communication: Proficient in both written and spoken English to facilitate effective communication within the team
Even better if you have:
- Experience with testing frameworks (e.g., pytest, unittest).
- Familiarity with version control systems (e.g., Git) (Github preferred).
- Knowledge of Kubernetes (K8s).
- Familiarity with JavaScript.
What’s in it for you
- Sporty is a remote first company in pursuit of sustainability
- A competitive salary + individual performance based bonuses every quarter
- 28 days paid annual leave
- Our core working hours are 10am-3pm in your local time zone with flexibility outside of this
- Referral bonuses & flash bonuses
- Top of the line equipment
- Annual company retreats to provide great internal networking opportunities
Interview process
- Remote video screening with our Talent Acquisition Team
- Offline Take home assignment
- Remote video interview with Team Members (60 Mins)
- Final discussion with the hiring manager (60 mins)
If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.
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