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 responsibilities: - 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 compliance with British Columbia's pay transparency laws. Individual pay rates are determined by evaluating factors such as expertise, skills, education, and professional background.
The range below reflects the expected annual base salary, which is only one element of our comprehensive total rewards package designed to reflect our company pay philosophy, culture and values. We aim to foster an inspiring work environment and support employees' work-life rhythms. We provide a comprehensive extended health benefits program, including virtual healthcare and a wellness allowance. Employees also receive annual allotted vacation days, which increase based on tenure. Other benefits include: Paid sick days, maternity/parental enhancement program, bonus, and an RRSP contribution matching program.
For Vancouver-based employees, we provide a subsidized meal program, courtesy of our talented in-house culinary team!
British Columbia - Base salary range
$90,000-$130,000 CAD
