Senior DevOps Engineer

Shape the Future of AI & Data with Us

At Datatonic we are Google Clouds 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.

Your Mission

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.

What Youll Do

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 Datatonics 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 Datatonics 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

What Youll Bring

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

Bonus Points If You Have :

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

Whats in It for You

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 $1500 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.

Why Datatonic

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 alongsideAI enthusiasts and data experts who are shaping tomorrow. At Datatonic innovation isnt just encouraged - its embedded in everything we do. If youre ready to inspire change and deliver value at the forefront of data and AI wed love to hear from you!

Are you ready to make an impact

Apply now and take your career to the next level.

Required Experience :

Senior IC

Key Skills

APIs,C / C++,Computer Graphics,Go,React,Redux,Node.js,AWS,Library Services,Assembly,GraphQL,High Voltage

Employment Type : Full-Time

Experience : years

Vacancy : 1