Kitchener, ON


Founded by industry experts and focused on the appropriate application of leading-edge analytic technologies like AI within industrial operations, we believe there is a simpler, more cost, time and operationally effective way to harvest insights from the Industrial and Manufacturing data sets that already exist.

Praemo is an advanced data and analytics company that builds solutions utilized by a wide range of industrial operations. From discrete manufacturing to consumer-packaged goods to mining and process plants, our technology, Razor™ fills a critical gap. Utilizing an organization’s operational and IoT (Internet of Things) data as-is, where-is, and applying AI (artificial intelligence) tools like ML (Machine Learning), Razor™ transforms existing, under-utilized data into context relevant insights. These insights alert industrial operators to any anomaly with the potential to harm performance in time to prevent it.

We are looking for a Software Systems Engineer. You should have a strong desire to stay up to date on the latest data management, analysis, and SaaS deployment tools. You should be focused on execution and delivering results for real industrial customers. Being a self-starter is key with an instinct for how to start small and then scale big. In this role, there will be ample opportunity to guide the direction of not only Praemo’s software stack but you will be strongly encouraged to engage with and participate in larger industrial organizations and initiatives to set broader standards.


  • Develop and maintain a software system that can perform at the speed of our customer’s businesses and scale to a large number and breadth of uses
  • Support the deployment of machine learning based products/solutions, which provide descriptive, diagnostic, predictive, or prescriptive models based on data in real time
  • Create stable data ingestion architectures – interface with industrial PLCs, databases, and caches
  • Deploy and maintain performant and scalable applications using Docker on Kubernetes


  • Proficiency in Python, shell scripts, NoSQL databases (Mongo, Cassandra, etc.)
  • Familiar with Redis
  • Must have Linux expertise
  • Must be familiar with VM creation, management, scaling, and upkeep (Azure experience a bonus)
  • Must have knowledge of deploying and maintaining Kubernetes clusters
  • Design and deployment of scalable data ingestion pipelines and data storage mechanisms
  • Practical experience with implementing and operating DevOps tools/platforms across the development lifecycle is mandatory
  • Familiarity with GitLab (or similar tools) as well as software versioning and management
  • Knowledge of general TCP/IP and security
  • Knowledge of cloud platforms (AWS, Google Cloud, Azure, or Bluemix), test driven development, and databases (including time series, relational, and NoSQL variants)
  • Great verbal and written communication skills for collaboration with a multi-disciplined team
  • Strong focus on documentation and sharing
  • Real passion for working in a team to develop solutions for complex problems
  • Thrive in an autonomous, empowering and exciting environment
  • Commitment to doing something that you love so that work is fun and you are contributing to an intellectually stimulating environment
  • A strong desire to learn and investigate new technologies

Preferred Qualifications:

  • BSc in Computer science or College diploma with significant experience
  • 5-10 years of DevOps experience
  • Knowledge of Agile development methodology
  • Knowledge of Microsoft Office 365 maintenance and troubleshooting
  • Knowledge of SaaS cybersecurity certifications
  • Any security professional certifications are highly favored
  • Previous startup experience
  • Leadership experience, or desire to grow into a leadership role, is preferred

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Leadership Team: Michael Martinez, CEO

Paul Hancock, CFO

Andy Henderson, CTO

Paul Boris, CRO


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