Senior DevOps Engineer

Summary

Join Datatonic, a premier Google Cloud AI partner, as a Senior DevOps Engineer. You will play a key role in establishing and enhancing DevOps practices for our clients. This position requires 4+ years of DevOps experience, proficiency in programming languages like Python, Java, or Go, and in-depth CI/CD knowledge. You will design, implement, and automate CI/CD pipelines, develop IaC pipelines using Terraform, and collaborate with sales and engineering teams. This role offers opportunities for professional growth and impact on cutting-edge projects. Datatonic provides a comprehensive benefits package including paid time off, retirement savings, health insurance, remote work support, and professional development opportunities.

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

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

Preferred Qualifications

• Previous experience working in a start-up or scale-up environment
• History of contributions to open-source projects, showcasing collaboration and innovation
• Experience in implementing Site Reliability Engineering (SRE) principles
• Experience/certifications for other cloud platforms such as AWS or Azure
• Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred
• Understanding of Software Defined Networking (SDN) on Google Cloud

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