QA Engineer II – MTS US – Engineering

Job Purpose

The Autonomous Haulage System (AHS) is a comprehensive fleet management system for mines. Autonomous trucks are centrally controlled through a wireless network that integrates on-board vehicle controllers, high precision global positioning, and obstacle avoidance systems. The AHS Product Development team is responsible for building innovative solutions to unique and challenging autonomous operation problems. Working with our partners around the world, you will help design and support the next generation of mine optimization technologies and build the future platforms that will drive the changes in the mining industry for generations.

As a Software Quality Assurance Engineer II – Autonomous Haulage System (AHS), you will engage with experienced cross-disciplinary team members to conceive and design innovative automation products. You will work closely with product management, hardware engineering, and operations teams. You must be responsive, flexible, and able to succeed in an open and collaborative peer environment.

Travel Requirements

Up to 10%.

Job Duties and Responsibilities

• Maintain deep understanding of AHS architecture, dependencies, and safety constraints; translate this knowledge into risk-based test plans and automated coverage.
• Partner with product and engineering teams to extract, refine, and document functional+nonfunctional requirements; ensure each requirement has measurable acceptance criteria and automated validation.
• Own the end-to-end quality strategy-including functional, performance, security, and fail over testing-leveraging service virtualization, contract testing, and containerized environments to maximize parallel execution in CI/CD.
• Design, implement, and continuously enhance robust automation frameworks. Integrate tests seamlessly into CI/CD pipelines with infrastructure as code provisioning.
• Drive a shift left culture: embed test hooks at design time, manage test data versioning, and maintain high signal regression suites that execute on every merge.
• Lead execution of manual edge case and exploratory tests; automate everything else. Publish clear dashboards for pass/fail trends, defect escape rate, and MTTR; use metrics to guide continuous improvement.
• Facilitate blameless postmortems, identify systemic issues, and convert findings into preventative automated checks.
• Oversee compatibility matrices and deployment configurations, support field teams during installation, configuration, and on-site validation.
• Mentor engineers, champion coding standards for test development, and pilot new tools or methodologies that increase team productivity and product quality. Coordinate cross functional initiatives to mature quality practices enterprise wide.
• Be able to occasionally travel internationally.

Required Skills

• Bachelor’s degree in computer science, Software/Systems Engineering, or related discipline (Master’s a plus).
• 4 +years combined experience in software/systems testing, with 2+years focused on building and scaling test automation.
• Ability to take a project from scoping requirements to production operations
• Lead comprehensive test strategies for complex, distributed or realtime systems.
• Proficient in at least one modern programming language used for automation (Java, Python, or C#); strong REST/gRPC API and UI automation experience.
• Handson experience with CI/CD, containerization, and infrastructureascode for ondemand test environments.
• Ability to mentor less experienced QA resources.
• Excellent analytical, documentation, and crossfunctional communication skills.
• Ability to travel for up to 10% of the time.

Desired Skills

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Experience in event-driven microservices and REST API’s
• Experience with network protocols, network programming, and distributed Application debugging and analysis
• Excellence in technical communication with peers and non-technical cohorts