Senior DevOps/MLOps

Global Relay; Vancouver (WA); On-site; USD 63,393 - 91,568; Full time

Benefits offered by this job

Comprehensive health benefits

Subsidized meal program

Bonus

Vacation days based on tenure

Job summary

Global Relay is seeking a Senior DevOps/MLOps to join their Artificial Intelligence team in Vancouver. This role focuses on automation and efficient delivery of machine learning models, leveraging cutting-edge technologies.

Responsibilities include developing CI/CD automation tools, managing deployments on Kubernetes, and ensuring system reliability. Ideal candidates have 5+ years in a DevOps/MLOps role and a Bachelor's in computer science. The position offers a salary range of $90,000 — $130,000 CAD and a robust benefits package.

Qualifications

• 5+ years of experience in a DevOps/MLOps or in a similar role.
• Understanding of computer science fundamentals like threading, OOP, etc.
• Experience mentoring Junior and Intermediate DevOps/MLOps.

Responsibilities

• Developing tools & frameworks to enhance CI/CD automation.
• Deploying services to Kubernetes.
• Monitoring and ensuring smooth operation of our services.

Skills

DevOps/MLOps experience

Automation tools

CI/CD practices

Kubernetes

Containerization technology

Python scripting

Monitoring tools

Education

Bachelor's degree in computer science or related field

Tools

Jenkins

Docker

CockroachDB

PostgreSQL

Kafka

Splunk

Prometheus

Job description

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 subsidised meal program, courtesy of our talented in‑house culinary team!

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.

Equal Opportunity Employer Statement:

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.