DevOps Engineer

October 8

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Leonardo.Ai

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Artificial Intelligence • Productivity • SaaS

Leonardo. Ai is a company that leverages advanced artificial intelligence to revolutionize the creation and generation of digital content. Offering a suite of AI-powered tools, Leonardo. Ai enables users to generate art, illustrations, and videos with ease. Their AI Art Generator, AI Video Generator, and other creative tools enhance workflows for graphic design, marketing, photography, and more, making high-quality visual asset creation accessible to beginners and professionals alike. The company also supports a vibrant community of creators and provides various models specialized for diverse artistic and photographic styles.

11 - 50 employees

🤖 Artificial Intelligence

⚡ Productivity

☁️ SaaS

📋 Description

• Build and Scale Infrastructure: Work across AWS, GCP, GCore, and Cloudflare to help scale the hybrid systems that power our AI workloads. • Support GPU Optimisation: Contribute to scaling and tuning GPU infrastructure for AI model training and inference to improve speed, reliability, and efficiency. • Improve CI/CD Pipelines: Collaborate with senior engineers to enhance our pipelines, simplify deployments, and boost developer velocity. • Strengthen Observability: Help improve monitoring, alerting, and incident response to give teams clearer visibility and faster recovery. • Contribute to Integration Projects: Work with Canva engineers and the Platform team to align infrastructure systems and adopt shared tooling. • Uphold DevOps Best Practices: Maintain documentation, reusable standards, and workflows that keep systems stable and scalable. • Keep Learning and Sharing: Participate in DevOps Guilds, deep dives, and innovation sessions that explore new tools and AI-driven automation.

🎯 Requirements

• Experience working with AWS services such as ECS, EC2, S3, and IAM, with some exposure to multi-cloud environments like GCP, GCore, or Cloudflare. • Practical experience using Terraform or other Infrastructure as Code tools to manage and automate infrastructure. • Familiarity with building or maintaining CI/CD pipelines, ideally within a collaborative engineering environment. • Good understanding of Linux, containerisation, and cloud networking fundamentals. • Clear and thoughtful communicator who documents work and shares knowledge openly. • Collaborative teammate who enjoys problem-solving and helping others succeed. • Curious, adaptable, and eager to explore new tools, technologies, and approaches. • Bonus: Interest or experience with GPU infrastructure or AI-driven automation.

🏖️ Benefits

• Impact the future of AI • Reward package including equity - we want our success to be yours too • Inclusive parental leave policy that supports all parents & carers with 18 weeks paid leave • An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more • Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally, including remote working abroad • Support with your professional development • Fun and engaging company events, both virtual and in-person