About the role

Senior DevOps Engineer at Datatonic, establishing and leading DevOps practices for AI & Data projects. Collaborating with sales and technical teams while mentoring for innovative growth.

Responsibilities

Design, implement, and automate scalable and resilient CI/CD & DevOps pipelines on Google Cloud Platform, tailored to client-specific AI/ML and data engineering needs.
Develop and maintain IaC pipelines using tools like Terraform to automate infrastructure provisioning and deployment on GCP, improving efficiency and consistency.
Define and embed best practices into our internal processes to enhance the quality and consistency of our work.
Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies.
Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for requirements.
Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials.
Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, architects, and data engineers.
Collaborate closely with partners such as Google to leverage their technologies effectively.
Guide team members, fostering a culture of growth and innovation.
Provide expert advice to customers on DevOps best practices.
Establish and enhance DevOps functions within clients’ organisations.
Engage with customers and project teams throughout the project development lifecycle to ensure seamless delivery.

4+ years of experience in the DevOps field or as a Platform Engineer.
Proficiency in Python, Java, or Go programming languages.
In-depth knowledge of CI/CD tools and processes.
Strong passion for technology and a drive to continuously learn.
Eagerness to join a diverse team of ML, AI, and DevOps enthusiasts.
Experience with Google Cloud technologies such as Cloud Run, Cloud Functions, Cloud Scheduler, Workflow, and Cloud Composer for automating deployments and managing infrastructure.
Proficiency with technologies such as Terraform and Kubernetes.

20 days paid vacation + 5 additional paid leave days during the company holiday closure.
5 days for personal time, sickness, or other needs.
Group Retirement Savings Plan with matching contributions.
Comprehensive group insurance (extended health & dental) with 100% individual premium paid by the employer.
100% employer-paid telemedicine services.
Home office budget provided for our fully remote work environment.
CAD $70/month (paid quarterly) for internet and phone costs.
CAD $1,500 every 3 years for office equipment (monitor, keyboard, mouse, desk, etc.) starting from Day 1.
Company-supplied MacBook Pro.
CAD $400/year for books or a reading device.
Opportunities for paid certifications.
Full access to Udemy Business for both professional and personal development.
Regular company off-sites and meetups.