Intermediate II DevOps​/MLOps

Job Title: Intermediate II Dev Ops/MLOps Job : 89258 Location: Vancouver, BC – 3 days a week onsite

As an Intermediate II Dev Ops/MLOps Engineer on the Artificial Intelligence team, you will be responsible for ensuring the reliability and smooth operation of development, testing, and production environments while improving automation for code and machine learning model delivery. You will work with modern MLOps technologies and collaborate across teams to build scalable, reliable infrastructure supporting AI and machine learning applications.

• Develop tools and frameworks to enhance CI/CD automation using industry best practices.
• Deploy applications and machine learning services to Kubernetes environments.
• Monitor and maintain the health and performance of services across multiple environments.
• Provide initial troubleshooting and operational support by reviewing dashboards, logs, and monitoring tools.
• Collaborate with cross-functional teams to ensure product requirements are met and deployments are reliable.

• 3–5 years of experience in Dev Ops, MLOps, or a similar role.
• Bachelor's degree in Computer Science or a related field, or equivalent experience.
• Strong understanding of computer science fundamentals, including object-oriented programming and threading.
• Knowledge of networking, firewalls, protocols, databases, and distributed systems.
• Understanding of software delivery practices, including Git branching strategies, configuration management, secrets management, feature flags, and zero-downtime deployments.
• Experience mentoring junior Dev Ops/MLOps engineers.
• Strong communication and organizational skills.

• CI/CD tools (Jenkins)
• Docker and Kubernetes
• Python or similar scripting languages
• PostgreSQL and Cockroach DB
• Kafka
• Monitoring and observability tools (Splunk, Loki, Zabbix, Prometheus)
• Package managers and artifact repositories (Artifactory, npm)

• MLFlow, Jupyter Hub, DVC, Tensor Flow
• Experience supporting containerized GPU workloads in Kubernetes
• No
  
  SQL databases, including vector databases
• Experience supporting Large Language Models (LLMs)

Salary Range: $80,000–$100,000