DevOps/MLOps (Senior)

TEEMA; Vancouver; On-site; CAD 120,000 - 130,000; Full time

Job summary

Join a forward-thinking company as a Senior DevOps/MLOps professional, where you will play a key role in enhancing the reliability and efficiency of code and machine learning model delivery. This exciting position offers the chance to work with cutting-edge technologies in a collaborative environment, influencing the design and implementation of scalable systems. You will develop automation tools, manage deployments to Kubernetes, and ensure the smooth operation of services across various environments. If you are passionate about MLOps and eager to tackle new challenges, this opportunity is perfect for you!

Qualifications

• 5+ years in DevOps/MLOps or similar roles required.
• Strong understanding of CI/CD practices and software delivery.

Responsibilities

• Develop tools for CI/CD automation and enhance deployment processes.
• Monitor services and troubleshoot issues to ensure reliability.

Skills

DevOps/MLOps experience

Organizational skills

Communication skills

Mentoring skills

Understanding of computer science fundamentals

Education

Bachelor's degree in computer science or related field

Tools

Jenkins

Docker

Kubernetes

Python

CockroachDB

PostgreSQL

Kafka

Splunk

Prometheus

Artifactory

Job description

Job Title: DevOps/MLOps (Seniors)
Job ID: 76633
Location: Vancouver, British Columbia

Overview:
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 the reliability and efficiency of code and machine learning model delivery from build to production. Challenge yourself by learning new technologies and applying 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.

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.

What you will be doing:

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

What you must have:

1. 5+ years of experience in a DevOps/MLOps or in a similar role
2. Bachelor's degree in computer science or related field, or equivalent work experience
3. Understanding of computer science fundamentals like threading, OOP, and more
4. Understanding of software systems concepts such as networking, firewalls, protocols, databases, and more
5. Understanding of software delivery practices such as Git branching models, configuration management, secret rotation, feature toggling, no-downtime deployments, and more
6. Experience mentoring Junior and Intermediate DevOps/MLOps
7. Strong organizational and communication skills
8. Experience with:
9. CI/CD tools such as Jenkins
10. Containerization technology such as Docker, Kubernetes
11. Python or other similar scripting languages
12. Databases such as CockroachDB, PostgreSQL
13. Distributed event streaming platforms such as Kafka
14. Instrumentation & Monitoring tools such as Splunk, Loki, Zabbix, or Prometheus
15. Package managers and artifact repositories such as Artifactory, npm

Nice-to-haves:

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

Salary/Rate Range: $120,000—$130,000 CAD