Supplier Quality Engineer ensuring quality across supply chains for SKF's Condition Monitoring products. Collaborating globally and supporting stakeholders to meet quality standards.
About the role
- 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.
Benefits
- Company Equity
- 30 days holiday + bank holidays
- 5 days paid volunteering leave
- Health insurance
- Life Insurance
- Pension
- Access to mental health support
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