Senior Full-stack QA Engineer

The Opportunity

We’re seeking a Senior Full-stack QA Engineer to empower our QA team and together impact how QA is done in the whole industry integrating with AI technologies. You’ll take on the challenge of evaluating and improving LLM quality while working with various programming languages and frameworks. We offer the rare advantage of building from the ground up with no legacy code to hold you back. Design and execute robust manual and automated testing strategies for API, UI and desktop to ensure the highest quality of our software product.

This is a unique opportunity to join an early-stage company led by the founder of a unicorn startup, Andrey Filev, and help scale it into a thriving, innovative business. You’ll be a part of the team that ships AI products, shaping the future of software development and unlocking the creative potential of brilliant minds.

Key Responsibilities

• Design and execute robust manual and automated tests for API, UI, and desktop using TypeScript for VSCode plug-in (now) and Java/Kotlin for JetBrains plug-in (in the nearest future). 
• Gain in-depth knowledge of IDEs and programming languages to thoroughly test and evaluate product functionality and performance.
• Participate in building an automated testing infrastructure, setting up and integrating automated tests with CI/CD pipelines from the ground up.
• Identify, track, and manage bugs while writing clear technical documentation to support issue resolution and knowledge sharing.
• Evaluate the performance of LLMs.
• Work closely with developers, product managers, and other stakeholders to thoroughly understand requirements, offer constructive feedback, and ensure alignment on quality standards.
• Collaborate closely with developers and users to collect feedback, identify areas for improvement, and investigate issues, ensuring the product meets user needs. Engage with our user community, fostering a supportive environment and leveraging user insights to improve the product.
• Leverage AI tools to increase efficiency and effectiveness within the QA processes.
• Stay updated with the latest trends in QA practices and AI advancements to drive innovation and maintain competitiveness.

Essential Qualifications

• 4+ years of hands-on experience in both manual and automated QA.
• 2+ years of automation experience using one or some of the languages like TypeScript, Kotlin, Java, Python, or C#, with the willingness and ability to quickly adapt to new languages and frameworks.
• Understanding of object-oriented programming languages, with the ability to write basic code in multiple languages such as TypeScript, Python, Java, and C#.
• Proficient in maintaining and updating comprehensive test documentation to ensure clarity and accessibility.
• Proficient in advanced Git techniques, including rebasing and history modification, to manage version control efficiently.
• Exceptional problem-solving skills combined with a proactive and ownership-driven mindset.
• Strong communication skills, with the ability to clearly articulate complex concepts and collaborate effectively with cross-functional teams.
• Nice to have: 
• experience in DevOps practices and configuration management to streamline the QA process;
• ability to design and build test automation infrastructure for UI, API, and desktop applications from the ground up;
• knowledge of AI technologies, particularly hands-on experience with LLMs and prompt engineering, and understanding of how to evaluate the quality of AI models.

Why Join Zencoder?

• Impact: Gen AI will change how companies develop software in the next two years. Be at the frontier of that AI work, building a category-leading product in a huge market. You will have an everyday opportunity to innovate.
• Growth potential: Thrive in a high-growth AI startup combining personal and career growth.
• High Talent Density: Collaborate daily with our team of top-notch engineers and founder, Andrew Filev.
• Equity: Align your success with ours by participating in our equity plan.
• Flexibility: We hire globally, prioritizing talent over location. Work where you’re most productive and comfortable.