Senior DevOps Engineer

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.

As a Senior DevOps Engineer, you will play a key role in establishing, leading and enhancing DevOps practices within our clients' organisations. 

We are looking for a proactive and skilled professional who thrives in a dynamic, technology-driven environment and is eager to contribute to the growth and innovation of an established scale-up. This role offers the chance to apply your expertise and grow your career while making a tangible impact on cutting-edge projects.

• Pipeline Development: 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.

• Infrastructure as Code (IaC) Pipelines: Develop and maintain IaC pipelines using tools like Terraform to automate infrastructure provisioning and deployment on GCP, improving efficiency and consistency.

• Technical Best Practices: Define and embed best practices into our internal processes to enhance the quality and consistency of our work

• Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies

• Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for requirements

• Knowledge Sharing: Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials

• Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, architects and data engineers

• Tech Partner Collaboration: Collaborate closely with partners such as Google to leverage their technologies effectively

• Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation

• Best Practices Advisory: Provide expert advice to customers on DevOps best practices

• Function Optimisation: Establish and enhance DevOps functions within clients’ organisations

• Stakeholder Engagement: Engage with customers and project teams throughout the project development lifecycle to ensure seamless delivery

• DevOps Experience: 4+ years of experience in the DevOps field or as a Platform Engineer

• Programming Skills: Proficiency in Python, Java, or Go programming languages

• CI/CD Expertise: In-depth knowledge of CI/CD tools and processes

• Tech Enthusiasm: Strong passion for technology and a drive to continuously learn

• Team Collaboration: Eagerness to join a diverse team of ML, AI, and DevOps enthusiasts

• Cloud Platform: Experience with Google Cloud technologies such as Cloud Run, Cloud Functions, Cloud Scheduler, Workflow, and Cloud Composer for automating deployments and managing infrastructure.

• Containerisation/Virtualisation Expertise: Proficiency with technologies such as Terraform and Kubernetes

• Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale-up environment

• Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation

• SRE Principles: Experience in implementing Site Reliability Engineering (SRE) principles

• Other Cloud Platforms: Experience/certifications for other cloud platforms such as AWS or Azure.

• Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred.

• SDN Knowledge: Understanding of Software Defined Networking (SDN) on Google Cloud

We believe in empowering our team to thrive, with benefits including:

• Holiday: 20 days paid vacation + 5 additional paid leave days during the company holiday closure.

• Wellness Days: 5 days for personal time, sickness, or other needs.

• Retirement Savings: Group Retirement Savings Plan with matching contributions.

• Health Insurance: Comprehensive group insurance (extended health & dental) with 100% individual premium paid by the employer.

• Telemedicine: 100% employer-paid telemedicine services.

• Remote Work Support: Home office budget provided for our fully remote work environment.

• Internet/Phone Expenses: CAD $70/month (paid quarterly) for internet and phone costs.

• Tech Accessories & Equipment: CAD $1,500 every 3 years for office equipment (monitor, keyboard, mouse, desk, etc.) starting from Day 1.

• Work Laptop: Company-supplied MacBook Pro.

• Learning Allowance: CAD $400/year for books or a reading device.

• Certifications: Opportunities for paid certifications.

• Learning Platform Access: Full access to Udemy Business for both professional and personal development.

• Team Engagement: Regular company off-sites and meetups.

Datatonic is a UK-based company with an Americas division located in Canada. The Canadian team operates remotely, with members distributed across North and South America. This role is open to candidates located anywhere in Canada.

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.