Digital Support Automation Engineer shaping Element Fleet Management’s enterprise digital support and workflow automation platform. Governing architecture, standards, AI evaluation, and cross - functional technical initiatives.
About the role
- QA automation developer building test suites and quality pipelines at MindBridge Analytics. Validating AI-powered, LLM-based, and agentic software capabilities.
Responsibilities
- Apply testing fundamentals and heuristics to identify product risks, edge cases, failure modes, and gaps in expected behaviour
- Investigate failures and unexpected behaviour and act on them
- Configure and use agentic tools to accelerate test creation, maintenance, analysis, failure triage, and recurring QA activities
- Advocate for testability and quality throughout the development lifecycle
- Improve the reliability, performance, and scalability of test frameworks, internal tooling, and automated quality gates
- Critically evaluate AI-generated outputs and maintain appropriate validation and human oversight
- Contribute to test strategies for AI-powered, LLM-based, and agentic product capabilities
- Help define evaluation methods for non-deterministic behaviour, including expected behaviour, quality thresholds, regression approaches, and failure analysis
- Validate model responses, tool usage, grounding, consistency, error handling, latency, and end-to-end agent behaviour
- Collaborate with Engineering, Product, and other technical teams
- Share testing patterns, tools, and lessons learned and improve testing effectiveness and delivery speed
Requirements
- Strong software testing fundamentals, including critical thinking, exploratory testing, test design, risk-based testing, common testing heuristics, and reasoning about customer and product impact
- Hands-on experience designing and developing automated tests for modern software applications
- Strong programming skills in at least one language commonly used for test automation or engineering, such as TypeScript/JavaScript or Python
- Experience with modern test automation frameworks
- Experience working with CI/CD pipelines and incorporating automated testing into software delivery workflows
- Ability to troubleshoot complex software and automated test failures across application, test, data, and infrastructure layers
- Practical experience leveraging AI-assisted development capabilities to automate or improve engineering and QA workflows
- Strong collaboration and communication skills across QA, Engineering, Product, and other technical teams
- Continuous-improvement mindset and interest in making software quality faster, more scalable, and more reliable
- Fulfill requirements necessary to obtain full background check
Benefits
- May be eligible for bonus awards
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