Are you ready to get the Easygo Edge?
Join us as a Junior MLOps Engineer and help keep our machine learning running at scale. You'll work alongside senior engineers and data scientists, learning how cloud infrastructure, automation and monitoring deliver reliable ML models to millions of users every day.
What you’ll build with us:
You'll help build and maintain the infrastructure that takes our ML models into production and keeps them running smoothly. From automating cloud workflows with Terraform to supporting the monitoring that keeps models reliable, you'll learn the craft from people who do it at scale.
We know that innovation ignites when we build and create together, in person. This is a full-time opportunity at our Melbourne office. You’ll work right where it all happens, surrounded by our fearless crew shipping high-impact work.
Who is Easygo?
We’re a high-growth, high-velocity tech company with millions of eyeballs on us every day. We’re building the future of fearless tech.
We’re the creators behind some of the most popular brands including Stake, KICK and Easygo Games. While they command a fierce global following, our crew is employed directly by Easygo and that’s where the real fun happens.
We’re always looking for people who are hungry, humble and move fast. People who are ready to Unify, Disrupt and Evolve with us.
With us you’ll grow faster and go further. Your work has impact. And that gives you an edge you can’t get anywhere else.
- Assist with implementing and maintaining ML infrastructure and automation, from development through deployment and production monitoring.
- Support cloud infrastructure tasks for ML workloads, including Infrastructure as Code (IaC) tools such as Terraform.
- Contribute to monitoring, alerting, and logging systems that keep models reliable, performant, and compliant.
- Partner with data scientists and stakeholders to understand infrastructure needs and streamline ML workflows.
- Learn from senior MLOps engineers and data scientists to build best practices in cloud infrastructure, automation, and ML operations.
- 2 years of experience in MLOps, DevOps, Data Engineering, Software Engineering and/or cloud infrastructure roles, preferably with exposure to Data Science or Machine Learning teams.
- Bachelor's degree in Computer Science, Engineering or a related technical field.
- Foundational understanding of cloud infrastructure concepts.
- Some exposure to Infrastructure as Code (IaC) tools, such as Terraform.
- Working understanding of CI/CD concepts.
- Familiarity with Python and scripting for automation or data workflows.
- Familiarity with containerisation technologies, such as Docker.
Bonus points if you also have:
- Interest in how technical solutions support business outcomes.
- Keen to explore new technologies and build technical skills.
- Collaborative across diverse teams and functions.
- Willing to troubleshoot technical problems with guidance from senior team members.
Here are our benefits and perks:
Sharpening your edge
- The ultimate sandbox. Exciting, on-the-job learning opportunities.
- 1 in 3 of our people level up their roles every year. If you deliver, you move.
Competitive pay and bonus scheme
- Market-synced pay that respects your craft and location.
- Performance-based bonus recognition based on your impact (up to 20%).
- Help us build our crew and get paid for it with our high-value referral bonus. Because great people know great people.
Office perks
- In-house baristas serve you free coffee, fresh juices and smoothies.
- Daily catered breakfast and regular company-wide events.
- Snack walls and drink fridges on every floor.
- Fun, modern office spaces. Pool tables, table tennis, gaming consoles and an F1 simulator.
We play fair. We hire fair.
True to our value of ‘Play fair’ we always hire fair. Our work and our brands are fuelled by our diverse culture. We hire for talent and grit. But we never discriminate. Your race, religion, nationality, gender identity or expression, sexual orientation, age, marital, veteran, or disability status won’t affect our hiring decision, or your trajectory here. Come as you are and get the Easygo edge.
