Senior DevOps Engineer

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November 27

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Datatonic

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Artificial Intelligence • eCommerce • Telecommunications

Datatonic is your go-to AI partner that addresses complex business challenges through advanced cloud data and AI consultancy. They offer a range of services including generative AI applications for various industries such as Retail, Telecommunications, Gaming, and Financial Services. With a focus on data-driven decision-making and analytics, Datatonic empowers businesses to optimize their operations and enhance customer engagement across multiple sectors.

51 - 200 employees

Founded 2013

🤖 Artificial Intelligence

🛍️ eCommerce

📡 Telecommunications

💰 Pre Seed Round on 2013-01

📋 Description

• 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.