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DevOps Engineer

Leonardo.Ai · Anywhere in the World · posted 11 months ago

DevOps Engineer at Leonardo.Ai — remote job on CafeRemote
DevOps and Sysadmin CMS Containers Cross-Browser Development Estimating and Cost Forecasting DEVOPS Computer Vision Cross-Selling Deal Closure Full-time Worldwide
At Leonardo.Ai, we’re building a cutting-edge generative AI platform that enables millions of users to transform their ideas into reality. Now part of the Canva family, we’re expanding our engineering teams to create the infrastructure and systems that power creativity for hundreds of millions of people worldwide.  

Role Overview – DevOps Engineer 

We are seeking a DevOps Engineer to join our Platform Tribe—the backbone of Leonardo’s technology. This team supports everything from AI generation tools to enterprise APIs and mobile experiences. 

Leonardo’s engineering structure is organized into tribes and squads, each focused on specific product objectives. The Platform Tribe ensures the stability, scalability, and performance of the infrastructure across all product teams. 

As a DevOps Engineer, you’ll work closely within product squads to help deliver features faster and more securely while also contributing to the broader platform’s architecture, tooling, and standards. This role involves building scalable systems, automating infrastructure, and enhancing our CI/CD pipelines to ensure smooth and reliable software delivery. 

You’ll rotate through various squads over time, allowing you to work with different technologies, solve complex challenges, and help shape the next generation of infrastructure for products used globally. 

We value curiosity, collaboration, and ownership. You’ll be part of a small, empowered team that prioritizes thoughtful innovation, transparency, and sustainable engineering practices.  

What You’ll Do 

  • Build & Scale Infrastructure: Work across AWS, GCP, GCore, and Cloudflare to scale hybrid systems supporting AI workloads.

  • Enhance GPU Infrastructure: Optimize and scale GPU-based systems for AI model training and inference.

  • Improve CI/CD Pipelines: Collaborate with engineering teams to streamline deployments and improve development efficiency.

  • Boost Observability: Enhance monitoring, alerting, and incident response capabilities.

  • Integrate with Canva Systems: Support infrastructure alignment and shared tooling across Canva and Leonardo.

  • Champion DevOps Standards: Maintain documentation, automation best practices, and reusable infrastructure patterns.

  • Learn & Share: Participate in DevOps guilds, technical deep dives, and AI automation initiatives.

Preferred Skills & Experience
 

  • Hands-on experience with AWS (ECS, EC2, S3, IAM) and familiarity with multi-cloud platforms (GCP, GCore, Cloudflare).

  • Proficiency in Terraform or other IaC tools.

  • Experience maintaining or building CI/CD pipelines.

  • Solid understanding of Linux, containers, and cloud networking.

  • Problem-solving mindset with strong communication and documentation habits.

  • Team player who enjoys collaboration and continuous learning.

  • Bonus: Experience with GPU infrastructure or AI-driven automation.

Life at Leonardo.Ai
 

  • Inclusive Culture: We celebrate diversity and foster an environment where everyone is respected and heard.

  • Flexible Work: Work remotely or from one of our creative office hubs across Australia.

  • Growth & Learning: Continuous learning, mentorship, and career advancement opportunities.

  • Meaningful Impact: Work on projects that shape the future of AI creativity and empower users around the globe.

Benefits & Perks
 

  • Competitive salary and equity options—your success grows with ours.

  • 18 weeks paid parental leave for all parents and caregivers.

  • Annual Vibe & Thrive allowance for wellness, remote office setup, and personal development.

  • Flexible leave options, including remote work abroad.

  • Professional development support and access to learning resources.

  • Fun virtual and in-person events to keep the culture vibrant and connected.

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