Site Reliability Engineer maintaining and optimizing cloud infrastructure for Tecsys. Collaborating with engineering teams to drive reliability and performance in mission - critical SaaS environments.
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.
Requirements
- 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.
Benefits
- 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.
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