Senior DevOps/MLOps

Vancouver, British Columbia, Canada

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Global Relay

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Who we are:

For over 20 years, Global Relay has set the standard in enterprise information archiving with industry-leading cloud archiving, surveillance, eDiscovery, and analytics solutions. We securely capture and preserve the communications data of the world’s most highly regulated firms, giving them greater visibility and control over their information and ensuring compliance with stringent regulations.

Though we offer competitive compensation and benefits and all the other perks one would expect from an established company, we are not your typical technology company. Global Relay is a career-building company. A place for big ideas. New challenges. Groundbreaking innovation. It’s a place where you can genuinely make an impact – and be recognized for it.

We believe great businesses thrive on diversity, inclusion, and the contributions of all employees. To that end, we recruit candidates from different backgrounds and foster a work environment that encourages employees to collaborate and learn from each other, completely free of barriers.

We encourage you to apply if your qualifications and experience are a good fit for any of our openings.

Your role:

As a Senior DevOps/MLOps on our Artificial Intelligence team you will be responsible for the reliability and smooth operation of various environments and build automation to improve reliability and efficiency of code and machine learning model delivery from build to production. Challenge yourself by learning new technologies, and apply your skills across our different projects and application domains. You'll get to work in the exciting field of MLOps and will have the opportunity to work with tools unique to machine learning and artificial intelligence.

At Global Relay we use leading edge technologies to deploy and manage the infrastructure that delivers highly scalable and available services. The role involves cross-team collaboration and communication; you will be working closely with key stakeholders to ensure that product requirements are met. This is an opportunity to influence the design and implementation of systems at scales that many do not get a chance to work at.

 

Your job:

  • Automation: Developing tools & frameworks to enhance our CI (Continuous Integration) & CD (Continuous Delivery) automation using industry standard CI/CD practices.
  • Deployments: Leveraging the above mentioned CI/CD automation to deploy our services to Kubernetes. 
  • Operations: Monitor and ensure smooth operation of our services in various environments.
  • Service Reliability: Occasionally provide support and initial troubleshooting when required by reviewing dashboards and logs to ensure system issues are timely addressed.

 

About you:

  • 5+ years experience in a DevOps/MLOps or in a similar role.
  • Bachelor's degree in computer science or related field, or equivalent work experience.
  • Understanding of computer science fundamentals like threading, OOP and more.
  • Understanding of software systems concepts such as networking, firewalls, protocols, databases and more.
  • Understanding of software delivery practices such as Git branching models, configuration management, secret rotation, feature toggling, no-downtime deployments, and more.
  • Experience mentoring Junior and Intermediate DevOps/MLOps.
  • Strong organizational and communication skills.
  • Experience with:
    • CI/CD tools such as Jenkins.
    • Containerization technology such as; Docker, Kubernetes.
    • Python or other similar scripting languages.
    • Databases such as; CockroachDB, PostgreSQL. 
    • Distributed event streaming platforms such as; Kafka.
    • Instrumentation & Monitoring tools such as: Splunk, Loki, Zabbix, or Prometheus.
    • Package managers and artifact repositories such as: Artifactory, npm.
    • Mentoring Junior DevOps/MLOps.

 

Nice-to-haves:

  • Artificial intelligence or machine learning tools such as; MLFlow, JupyterHub, DVC, TensorFlow.
  • Supporting containerized GPU workloads in Kubernetes.
  • NoSQL data stores, including vector databases.
  • Supporting Large Language Models.

 

Compensation:
Global Relay advertises the pay range for this role in accordance with the pay transparency laws of the province of British Columbia. In addition to the annual base salary (range listed below), compensation for this role also includes a corporate bonus, extended health benefits, and RRSP Matching, and (for applicable Sales roles) an enticing commission structure.

British Columbia - Base Salary Range:$90,000—$130,000 CAD

What you can expect:

At Global Relay, there’s no ceiling to what you can achieve. It’s the land of opportunity for the energetic, the intelligent, the driven. You’ll receive the mentoring, coaching, and support you need to reach your career goals. You’ll be part of a culture that breeds creativity and rewards perseverance and hard work. And you’ll be working alongside smart, talented individuals from diverse backgrounds, with complementary knowledge and skills.

Global Relay is an equal-opportunity employer committed to diversity, equity, and inclusion.

We seek to ensure reasonable adjustments, accommodations, and personal time are tailored to meet the unique needs of every individual.

We understand flexible work arrangements are important, and we encourage that in our work culture. Whether it’s flexibility around work hours, workstyle, or lifestyle, we want to ensure our employees have a healthy work/life balance. We support and value a hybrid work model that blends collaboration with the team in the office and focus time from the comfort of your home.

To learn more about our business, culture, and community involvement, visit www.globalrelay.com.

Tags: CAD CI/CD CockroachDB Computer Science DevOps Docker Git GPU Kafka Kubernetes LLMs Machine Learning MLFlow MLOps NoSQL OOP PostgreSQL Python Splunk Streaming TensorFlow

Perks/benefits: Career development Competitive pay Equity Flex hours Health care Home office stipend Salary bonus Transparency

Region: North America
Country: Canada
Job stats:  8  2  0

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