Intermediate II DevOps/MLOps
About The Position
As an Intermediate II 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.
Requirements
- 3-5 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 DevOps/MLOps.
- Strong organizational and communication skills.
- Experience with CI/CD tools such as Jenkins.
- Experience with Containerization technology such as; Docker, Kubernetes.
- Experience with Python or other similar scripting languages.
- Experience with Databases such as; CockroachDB, PostgreSQL.
- Experience with Distributed event streaming platforms such as; Kafka.
- Experience with Instrumentation & Monitoring tools such as: Splunk, Loki, Zabbix, or Prometheus.
- Experience with 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.
Responsibilities
- Developing tools & frameworks to enhance our CI (Continuous Integration) & CD (Continuous Delivery) automation using industry standard CI/CD practices.
- Leveraging the above mentioned CI/CD automation to deploy our services to Kubernetes.
- Monitor and ensure smooth operation of our services in various environments.
- Occasionally provide support and initial troubleshooting when required by reviewing dashboards and logs to ensure system issues are timely addressed.
Benefits
- Comprehensive extended health benefits program, including virtual healthcare and a wellness allowance.
- Annual allotted vacation days, which increase based on tenure.
- Paid sick days
- Maternity/parental enhancement program
- Bonus
- RRSP contribution matching program.
- Subsidized meal program (for Vancouver-based employees)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree
