QA Automation Engineer, Python
Role details
Job location
Tech stack
Job description
As a Software Developer, you will contribute to building and improving AI-enabled internal engineering projects that support software quality, reliability, and developer productivity. You'll work closely with senior engineers and QA teams to design and implement systems that use data-driven and AI-assisted techniques to analyse failures, surface insights, and improve overall product quality.This role is ideal for someone early in their career who is eager to apply AI in real-world engineering workflows, learn from experienced engineers, and grow strong software development fundamentals., * Contribute to the design and implementation of AI-driven internal projects focused on quality analysis and engineering insights
- Develop backend functionality in Python, following established architectural and coding standards
- Assist in applying AI-assisted techniques to:
- Analyse and categorise large volumes of bugs, failures, and logs
- Identify recurring patterns and trends in test and production data
- Reduce noise and improve signal quality in automated test results
- Work with structured and unstructured data (logs, metrics, error traces)
- Fix defects, improve system reliability, and enhance performance
- Write clean, maintainable, and well-documented code with mentorship from senior engineers
- Participate in code reviews, technical discussions, and iterative improvement cycles
Requirements
Do you have experience in Software development?, * 0-2 years of software development experience (internships, placements, or academic projects)
- Strong fundamentals in Python and core software engineering principles
- Familiarity with Git and collaborative development workflows
- Interest in AI-assisted engineering tools, automation, or data analysis
- Some exposure to debugging, log analysis, or quality-related workflows
- A proactive learning mindset and ability to take feedback constructively
- Good written and verbal communication skills
- Nice to have (but not required):
- Exposure to AI/ML concepts, LLMs, or AI APIs
- Coursework or projects involving data analysis or automation
- Basic understanding of testing, CI/CD, or cloud platforms (e.g., AWS), * Hands-on experience contributing to real AI-powered engineering projects
- Practical exposure to applying AI in production-adjacent systems
- Mentorship from experienced software and quality engineers
- A strong foundation for growth into Software Engineer, SDET, or AI-focused roles
Benefits & conditions
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.