Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data from Komatsu trucks and prepare insightful reports for mining operations.
- Company: Join Razor Labs, a pioneering force in mining tech with innovative AI solutions.
- Benefits: Enjoy remote work flexibility and collaborate with top industry experts.
- Why this job: Shape the future of industrial technology while making a real impact in mining safety.
- Qualifications: Experience with Komatsu trucks, strong troubleshooting skills, and mechanical knowledge required.
- Other info: This role involves hands-on consulting at mine sites, not just in service centres.
The predicted salary is between 36000 - 60000 £ per year.
Join Razor Labs, a leader in the mining tech sector, specializes in predictive maintenance with our flagship product, DataMind AI. Our AI Sensor Fusion technology forecasts equipment failures, enhancing operational efficiency and safety.
Publicly traded on the Tel Aviv Stock Exchange, we have a strong presence in key mining regions, including Australia and South Africa, where our solutions have driven significant improvements.
As part of our team, you’ll collaborate with the brightest minds, tackling the most complex problems and shaping the future of industrial technology. Together, we can build smarter, greener and safer industries of tomorrow.
We are seeking an experienced Maintenance or Reliability Engineer with a proven background in maintenance leadership, reliability management, and troubleshooting for Komatsu mining assets.
The ideal candidate will bring extensive expertise with Komatsu haul trucks (especially model 930E), including:
- In-depth knowledge of mechanical systems, structural components, common failure modes, and operational faults.
- Strong understanding of preventive maintenance practices, OEM recommendations, and post-failure repair challenges.
Key Responsibilities:
- analyzing advanced data from Komatsu truck monitoring and control systems
- Preparing professional reports and presenting findings
- Preparing weekly presentations by integrating analysis insights with prior technical knowledge
This is a hands-on consulting role based on remote assignments in mining operations. We are looking specifically for candidates who have worked directly at mine sites rather than exclusively in dealerships or service centers.
Requirements
- Demonstrated experience in maintenance leadership roles for Komatsu trucks (with a focus on the 930E).
- Deep technical knowledge of mechanical, hydraulic, and operational systems.
- Proven hands-on troubleshooting and fault analysis skills.
- Familiarity with OEM specifications and field-applied maintenance practices.
- Fluent in English (spoken and written) – mandatory
- Strong technical English proficiency for reading manuals, writing reports, and documenting findings
- Mechanical Engineer – advantage
- Strong analytical thinking and problem-solving capabilities
- Proficiency in computer environment and office applications – mandatory
- Availability for team meetings, presentation of findings, and group-oriented thinking
#J-18808-Ljbffr
Maintenance / Reliability Engineer employer: Razor Labs Ltd.
Contact Detail:
Razor Labs Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Maintenance / Reliability Engineer
✨Tip Number 1
Network with professionals in the mining tech sector, especially those who have experience with Komatsu equipment. Attend industry events or join online forums to connect with potential colleagues and learn about the latest trends in predictive maintenance.
✨Tip Number 2
Familiarise yourself with Razor Labs' flagship product, DataMind AI. Understanding how their AI Sensor Fusion technology works will not only help you during interviews but also demonstrate your genuine interest in their solutions and how they enhance operational efficiency.
✨Tip Number 3
Prepare to discuss specific examples from your past experiences where you've successfully implemented preventive maintenance practices or resolved complex issues with Komatsu haul trucks. Real-life scenarios can showcase your problem-solving skills and technical knowledge effectively.
✨Tip Number 4
Brush up on your presentation skills, as you'll need to prepare weekly presentations integrating analysis insights. Practising how to convey technical information clearly and concisely will set you apart and show that you're ready for the hands-on consulting role.
We think you need these skills to ace Maintenance / Reliability Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and requirements of the Maintenance / Reliability Engineer position at Razor Labs. Familiarise yourself with their flagship product, DataMind AI, and how it relates to predictive maintenance in the mining sector.
Tailor Your CV: Highlight your experience with Komatsu haul trucks, especially the 930E model. Emphasise your background in maintenance leadership, reliability management, and troubleshooting. Use specific examples that demonstrate your expertise in mechanical systems and preventive maintenance practices.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the mining tech sector and your alignment with Razor Labs' mission. Discuss your hands-on experience at mine sites and how your skills can contribute to building smarter and safer industries.
Proofread and Edit: Before submitting your application, carefully proofread your CV and cover letter. Ensure there are no grammatical errors and that your documents are clear and professional. This attention to detail reflects your commitment to quality, which is crucial for the role.
How to prepare for a job interview at Razor Labs Ltd.
✨Showcase Your Technical Expertise
Make sure to highlight your in-depth knowledge of Komatsu haul trucks, especially the 930E model. Be prepared to discuss specific mechanical systems and common failure modes you've encountered in your previous roles.
✨Demonstrate Problem-Solving Skills
Prepare examples of how you've successfully troubleshot issues in the past. Discuss your approach to fault analysis and how you applied preventive maintenance practices to enhance reliability.
✨Prepare for Data Analysis Questions
Since the role involves analysing advanced data from monitoring systems, brush up on your data interpretation skills. Be ready to explain how you've used data to inform maintenance decisions and improve operational efficiency.
✨Practice Your Presentation Skills
As you'll need to prepare and present findings, practice articulating your insights clearly and professionally. Consider how you can integrate technical knowledge with analytical insights to create compelling presentations.