Leonardo AI

DevOps Engineer

Remote Australia
Terraform Machine Learning AWS
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Description

Join the Revolution at Leonardo.Ai!

Leonardo.Ai is an Australian tech startup. Our mission is to unleash the world's creativity with its groundbreaking AI-powered platform. In 18 months after our software launched, we've quickly grown to over 16 million users worldwide.

The Role:

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.

Role Responsibilities:

  • 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.

Skills We Seek:

  • 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.

Our Culture:

  • Inclusive Culture: We celebrate diversity and are committed to creating an inclusive environment where everyone feels valued and empowered. At Leonardo AI, your unique perspectives and experiences are welcomed and essential to our success.

  • Flexible Work Environment: We understand the importance of work-life balance. Enjoy the flexibility to work remotely or from our vibrant offices. We have employees all over Australia, ensuring you can thrive personally and professionally.

  • Empowering Growth: Your development is our priority. We offer continuous learning opportunities and career growth tailored to your goals. You’ll be encouraged to grow and excel in your career at Leonardo AI.

  • Impactful Work: Join us in shaping the future of AI. You'll work on innovative projects that have a meaningful impact, and your contributions will help drive advancements in AI creativity.


Leonardo.Ai Benefits:

  • Impact the Future of AI

  • Competitive salary and equity

  • A day off for your birthday 

  • Remote and hybrid work options

  • 20 days Annual Leave 

  • 20 days working abroad

  • Four weeks of gender-neutral paid parental leave 

  • Wellness budget 

  • Home office budget 

  • Everyday discounts with Flare 

  • Novated vehicle leasing 

  • Training and conference expenses 

  • Friday meals in the office in Sydney

  • Fun and engaging company events, both virtual and in-person


Next Steps:

Ready to dive into AI and do the best work of your career so far? Apply now and join us at Leonardo.Ai to make a significant impact!

Why Leonardo.Ai?

  • Shape the Future of AI: Join us in revolutionising content creation and build a platform at the forefront of generative AI, in an award winning culture.

  • Hybrid and Remote Options: Flexibility is key. Choose a work arrangement that suits your lifestyle and allows you to do your best work. Our hybrid team members meet in the Sydney office 1-2 times per week, with free lunch on Fridays.

  • Benefits: We offer a generous package including paid parental leave, a generous home office and wellness budget, and remote working from abroad.

  • Diversity and Inclusion: We intentionally seek people from a variety of backgrounds, experiences, and perspectives to join our team. We wholeheartedly believe in creating an inclusive environment where every voice we hear contributes to our success.

Typical Interview Process

While we love technology, rest assured that our interview process is all human. A Talent 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 Talent team will reach out and arrange a 30-minute video call where you'll cover your experience, skills, and career motivations. You'll also get essential context about the role, the team, and how you can contribute towards our 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.

Important Information

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.

Leonardo AI
Leonardo AI
Artificial Intelligence (AI) Content Generative AI Information Technology

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