🌟 Join the Revolution at Leonardo.Ai! 🌟
Leonardo.Ai, an Australian tech startup, is on a transformative mission to democratise design and ignite the world's creativity through our groundbreaking AI-powered platform. With over 13 million users worldwide and counting, we're just starting!
At Leonardo.Ai, we believe in moving fast to stay ahead, but not at the cost of our well-being. As a DevOps Engineer, you will thrive in a culture that values rapid innovation, balances with collaboration and respects personal and collective health. Here, you'll work alongside talented and empathetic team members dedicated to reshaping the creative landscape.
🚀 Embark on an Exciting Journey 🚀
As a DevOps Engineer at Leonardo.Ai, you will
Manage Cloud Infrastructure: Build and oversee AWS infrastructure, ensuring robust, scalable solutions aligned with our top priorities.
Utilise Infrastructure as Code: Employ Terraform to manage infrastructure efficiently and repeatably, allowing you to own your projects and results.
Create Modular System Architecture: Develop reusable components that allow for quick but controlled engineering advancements, reflecting our commitment to continuous improvement and innovation.
Support High-Performance Compute: Aid our AI teams with technology for model training and machine learning, maximising the impact of our work.
Optimise Costs and Resources: Implement practices to manage budget and resources efficiently, ensuring we stay nimble and ruthlessly efficient.
Continuous Improvement: We actively enhance our systems to boost capabilities and performance, always focusing on being good humans and maintaining a collaborative culture.
🎨 Fuel Your Passion for Innovation 🎨
We're Looking For:
Proven experience with AWS and ECS and managing containerised services.
Expertise in Terraform and scalable infrastructure development.
Proficient in Linux and strong command-line skills.
Knowledge in orchestration, compliance, and CI/CD practices.
Experience in modular system design and cost management.
Effective collaboration skills with team-oriented teams to ensure no one gets left behind.
GPU management experience for ML applications is desirable.
âš¡Our Cultureâš¡
At Leonardo.Ai, we are committed to building a diverse organisation and fostering a fair and inclusive work culture. We value curiosity, collaboration, and the collective growth of our team members, both professionally and personally.
👣 Next Steps 👣
Ready to revolutionise operational processes with AI? Apply now and join us at Leonardo.Ai to make a significant impact!
We're rapidly expanding and seeking passionate people in various software engineering roles. Don't hesitate—even if you don't meet every requirement, consider applying and join our innovative journey.
Impact the Future of AI:
Contribute to a unique opportunity to revolutionise content creation and build a platform at the forefront of generative AI.
Hybrid and Remote Options:
We understand that flexibility is key. Choose a work arrangement that suits your lifestyle and allows you to do your best work. Our hybrid team members gather in the office an average of 1-2 times per week, and we cater lunch on Fridays.
Sydney Headquarters:
Our stunning office overlooking Neutral Bay is a collaborative space where teams gather to ideate, innovate, and build lasting relationships.
Diversity and Inclusion:
We recognise the importance of having a diverse team. We purposefully seek people from a variety of backgrounds, experiences, and perspectives to join our team. We believe in creating an inclusive environment where every voice we hear contributes to our success.
While we love technology, rest assured that our interview process is all human. A recruitment team member will review your application, and we'll contact you either way to let you know the outcome. Here's what you can expect.
Round 1 - Meet Your Recruiter:
Our recruitment team will reach out and arrange a 30-minute video call. The themes you'll cover in this conversation include your experience, skills, and career motivations. It will also give you essential context about the role, the team, and how you can contribute towards Leonardo.Ai's short, medium and long-term goals.
Round 2 - Craft Interview:
You'll meet some team members to discuss the technical task in more depth, work through some technical questions related to your expertise and cover past projects, experience and career aspirations.
Round 3 - Technical Task:
If you're applying for a technical role, you may be given a short, take-home task to assess your skills and approach to problem-solving. This could be a real-life business scenario to unpack, a presentation, a test or a collaboration exercise. (Please note, depending on the role, the order of rounds 2 & 3 are interchangeable)
Round 4 - Values interview:
You'll be able to meet with the Department Head for a short, informal conversation to understand your potential impact, the growth area we can support, and how aligned you are with our values and culture.
If there are any adjustments we can make that would make you more comfortable at any point in the interview process, please don't hesitate to let us know.
