Quality Engineer focusing on AI automations within the Platform Stability team at Matillion. Drive proactive troubleshooting and quality assurance for data processing pipelines in a hybrid work environment.
Responsibilities
Leveraging AI and agentic solutions, including our agentic AI product Maia, to accelerate investigation, generate test cases, and increase quality assurance across the Data Productivity Cloud.
Performing root cause analysis on pipeline stability issues, particularly identifying why DPC pipelines run out of memory (OOM) within the agents.
Building pipelines to automate every process, solutionizing problems to increase overall team and product productivity.
Acting as a crucial bridge by collaborating extensively with various teams, raising problems, and ensuring that fixes are implemented effectively.
Adopting, implementing, and championing shift-left testing practices across the team, leading an automation-first approach.
Requirements
Solid foundation in **data engineering**: including SQL, ETL/ELT design, and specific experience building data pipelines and managing data movement.
Strong practical AI experience: you have used, experimented with, and are an advocate for an AI-first approach to quality engineering.
Proficiency in coding in **Java or JavaScript** to navigate the codebase and implement quality frameworks.
Demonstrated **Autonomy, Curiosity, and Problem-solving** skills, with a willingness to look at challenges in a different way and ask for assistance as needed.
Experience in managing end-to-end testing of SaaS applications, including developing and maintaining efficient test automation tooling.
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