In-Demand Senior devops engineer aws Jobs

Senior Machine Learning Engineer
Easygo —Melbourne VIC
- Azure
- Computer Science
- DevOps
- Employee assistance program
Quick Apply
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- Full-time
- Azure
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- Maintenance
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CrowdStrike —Western Australia
- Full-time
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Technical Lead
Sciana Health —Melbourne VIC
- $120,000 - $140,000 a year
- Hybrid work
- DevOps
- Systems design
- AWS
Quick Apply
Senior Cloud Engineer- Azure
NCS Australia —Canberra ACT
- Full-time
- Hybrid work
- Azure
- AWS
- Communication skills
- Parental leave
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SS&C Technologies —Sydney NSW
- Full-time
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- AWS
- No degree
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NTT DATA —Melbourne VIC
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The Argyle Network —Sydney NSW
- $850,900 a year
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Nuix —Sydney NSW
- Hybrid work
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- Master's degree
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GenAI FullStack SDE, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
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- Azure
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Assertiv Consulting —Sydney NSW
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Cover Genius —Sydney NSW
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NTT DATA —Sydney NSW
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Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
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Neuronimbus Digital Pty Ltd —Sydney NSW
- $720 - $750 a day
- Contract
- Azure
- Computer Science
- Databases
Quick Apply

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Senior Machine Learning Engineer

Easygo -
Melbourne VIC

Quick Apply

Job Details

Benefits

Company events
Employee assistance program
Paid volunteer leave

Qualifications

CI/CD
Cloud infrastructure
Azure
Computer Science
DevOps
Engineering
Google Cloud Platform
AWS
Docker
Bachelor's degree
Terrafrom
Scripting

Full Job Description

Who are we?

Easygo is the engine behind some of the entertainment industry's biggest brands, including Stake.com Kick.com Stake Engine and Easygo Games.

Easygo is the force behind brands with global reach, through products and platforms people actually choose to experience.

We do what's exciting, not expected. That means big ideas, tight execution, and teams that are trusted to ship, learn, and ship again.

Passionate about building and deploying Machine Learning pipelines at scale to drive business value?

What's in it for you?

As a Senior Machine Learning Engineer, you will work within our collaborative Data Science team to help deliver and accelerate multiple machine learning projects across our organisation.

Your role with us:

In your role with us, you will enhance our machine learning operations (MLOps), delivering: robust, scalable AWS cloud infrastructure and automation solutions, that empower our data science team. You will get the opportunity to work with petabyte-scale data across our global platforms, directly impacting millions of users.

What you will do:

Lead the design, implementation, and maintenance of end-to-end ML infrastructure and automation solutions, from: development, to deployment and production monitoring.
Drive cloud infrastructure and architectural decisions supporting large-scale ML workloads, leveraging Infrastructure as Code (IaC), particularly using Terraform.
Implement and maintain CI/CD pipelines, ensuring efficient model integration, deployment, and continuous delivery.
Build and optimise monitoring, alerting and logging to ensure model reliability, performance and compliance.
Collaborate closely with data scientists and stakeholders to identify infrastructure needs, streamline workflows, and effectively communicate complex technical concepts.
Provide mentorship and technical guidance to junior MLOps engineers and data scientists to promote best practices in ML infrastructure.

What you will bring:

Experience in MLOps, DevOps, Data Engineering and/or cloud infrastructure roles, preferably supporting data science or Machine Learning teams.
Bachelor's degree in Computer Science, Engineering, or a related technical field.
Expert proficiency in cloud infrastructure management using Terraform.
Deep hands-on experience with major cloud platforms (AWS, Azure or GCP).
Strong experience in building and maintaining CI/CD pipelines specifically for ML workloads.
Proficiency with containerisation technologies (Docker, Kubernetes).
Advanced proficiency in Python and scripting for infrastructure automation.

Some of the perks of working with us:

Office Perks & Environment

In-house baristas serving free coffee, tea, fresh juices, and smoothies
Daily catered breakfast and regular company-wide events
Snack walls and drink fridges on every floor
Fun /modern office spaces with pool tables, table tennis, gaming consoles, and an F1 simulator

Wellbeing & Personal Development

Access to our Employee Assistance Program for you and your loved ones
9,000+ courses on our Learning & Development platform
One paid volunteer day per year
Weekly Wednesday massages by professional masseuses

Team Connection & Rewards

Team budgets for lunches and activities to celebrate achievements
Social sports teams and participation in Corporate Games
Easygo branded swag
Birthday and work anniversary gift vouchers, plus a chance to win prizes

Events & Experiences

Company-wide talks with key partners such as Everton FC and Team Sauber in Formula 1
Office visits from big-name streamers
Meet Ambassadors like Alex Pereira, Israel Adesanya
Ballots for exclusive tickets to events like Formula 1, UFC, and more sporting and music events

We believe that the unique contributions of everyone at Easygo are the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experiences, we never discriminate on the basis of race, religion, nationality, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.

We're a global team of dreamers, creators, and game-changers from every walk of life, united by a passion for entertainment that inspires the world.

We believe that the best ideas come from different perspectives, so we actively welcome and champion talent from all backgrounds, cultures, identities, and experiences. Whether you're just starting out or bringing decades of experience, your unique voice matters here.

Quick Apply

Refine Your Search

senior devops engineer aws jobs

Senior Machine Learning Engineer

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