Location
Edinburgh

As part of our company growth we are looking to appoint an operations engineer to help with our expanding deployment - both for our cloud based and edge systems.

Background

Machines With Vision (MWV) is a fast-growing technology company developing a transformational mapping solution for use in the rail industry and beyond. Along with long-distance railways, metros and light rail systems are the foundation of city transportation and are critical to addressing climate change. Building and maintaining railways is expensive but ripe for digital transformation.

We are based in Edinburgh, UK, and over the last 5 years we have developed our key technology from proof-of-concepts and prototypes into a commercially deployed solution with a major national operator.

Our solution organises condition data acquired by mobile sensors, recorded by railway infrastructure owners, into a digital millimetre-accurate geospatial condition map that we call mobile sensor data mapping. This enables efficient subsequent analysis of infrastructure conditions such as trending and change detection for making markedly more efficient maintenance decisions.

Role

As part of our company growth we are looking to appoint an operations engineer to help with our expanding deployment - both for our cloud based and edge systems.

This would suit an enthusiastic and pragmatic individual experienced in building, configuring and monitoring complex distributed data capture and cloud processing systems. We have a start-up culture and are looking to appoint someone who is a self-starter with a can-do attitude. There will be many interesting challenges and this role will best suit someone who relishes the potential opportunities, and satisfaction in solving them.

Responsibilities

  • You will report to the Head of Platform.

  • You will be responsible for maintaining operations across the software stack.

  • You will need to be able to help set up and respond to monitoring of deployed systems.

  • You should be able to swiftly adapt and fix any issues flagged up.

  • You will be expected to jointly share operations support out of hours as necessary

Required

  • Excellent Java/Kotlin and/or Python.

  • Significant expertise in AWS type deployments

  • Knowledge of configuring and maintaining databases (e.g. Postgres).

  • Extensive networking and Linux expertise.

  • Familiarity with metrics and monitoring tools (e.g. DataDog)

Preferred

  • Previous work in start-ups or similar early-stage company.

  • Experience working in or alongside an agile development team.

  • Experience of the rail or transport infrastructure industries.

  • At least 2-3 years industry experience.

Benefits

  • Working with bleeding edge technology to make a significant difference in the future of transportation.

  • Opportunity for personal growth and development as we scale.

  • Competitive industry salary and share options.

  • Bike to work scheme and part of environmentally focused business.

  • Flexible working hours and home/remote support.

Machines With Vision is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability or age.

Living and Working in Edinburgh

MWV is based in Codebase, Europe’s largest Tech Accelerator situated in the heart of the historic city of Edinburgh. Long recognised as one of the world’s cultural and academic treasures, Edinburgh has recently emerged as the UK’s second city in terms of technology companies and also frequently tops lists of the world’s greatest places to live and work. As the workplace has changed with the ongoing pandemic, we now support team members working from home and hybrid working.

Applications

If you are interested in working for a fast-growing, fast-paced, bleeding-edge technology company, and want to apply for this role, please start the process by going to the following Typeform questionnaire and uploading your CV.