In-Demand Infrastructure engineer Jobs in Dandenong, Vic

Senior Engineer - ML Systems (AI Products)
Xero —Hawthorn VIC
- Full-time
- Hybrid work
- Systems design
- Research
- Master's degree
Senior Software Engineer
REA Group —Richmond VIC
- Full-time
- Hybrid work
- AWS
- APIs
- Café
- Parental leave
11d
Design Manager - High Voltage Substations
Consolidated Power Projects Australia —Doncaster VIC
- Full-time
- Communication skills
- Time management
- Work from home
- Parental leave
Quick Apply
Senior Engineer, ML Systems (AI Products)
Xero —Hawthorn VIC
- Full-time
- Hybrid work
- Systems design
- SQL
- AWS
Senior Project Engineer (VIC/SA)
Comwire IT —Prahran VIC
- Full-time
- Azure
- SharePoint
- Communication skills
Quick Apply
11d
Sr. Cybersecurity Applications Engineer, Megapack
Tesla —Cremorne VIC
- Full-time
- Management
- Master's degree
- Bachelor's degree
Manager - Primary Design
Consolidated Power Projects Australia —Doncaster VIC
- Full-time
- In-person
- Leadership
- Relocation assistance
- Work from home
Quick Apply
Lead Software Engineer - Mobile
Xero —Hawthorn VIC
- Overtime
- Hybrid work
- APIs
- AI
Senior Software Engineer - New Homes Engage
REA Group —Richmond VIC
- Full-time
- Hybrid work
- APIs
- Café
- Parental leave
1h

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Senior Engineer - ML Systems (AI Products)

Xero -
Hawthorn VIC

Apply Now

Job Details

Full-time

Qualifications

Law
Systems design
Research
Xero
Master's degree
SQL
AWS
AI

Full Job Description

The role

You will lead the design and implementation of large-scale, production-grade distributed systems that power AI features for millions of daily users. You'll own the architecture decisions that keep our systems flexible, cost-effective, and robust, direct strategy for distributed systems, and manage technical debt across the AI Products estate.

Beyond architecture, your impact lies in lifting the technical capability of the entire AI Products team. You will champion engineering excellence, mentor junior engineers, and collaborate across Xero to enhance data usability - applying modern AI research, including Large Language Models, only once it can be engineered into reliable, production-grade systems.

The team

You will join the AI Products group, a diverse team of scientists, engineers, product managers, and analysts within our broader Data & Science division. As a Machine Learning Engineer, you'll partner closely with Applied Scientists to build the interfaces and harnesses that safely and reliably transition models from research into production. Together, this collaborative team reduces toil and delivers beautiful, data-driven insights for small businesses.

The team is currently working on

Designing and building highly scalable, distributed production infrastructure to support generative AI features
Harnessing tools like Python, SQL, and distributed processing engines such as Spark or Dask to handle web-scale data workload.
Deploying to production environments running on AWS and Kubernetes Integrating modern Large Language Model technologies into product features once they're production-ready

Where and how you can work

Xero offers a flexible hybrid working model designed to blend the collaboration of office life with the autonomy of remote work. You will have access to our modern office spaces, with expectations around office days and collaborative 'boost days' aligned to help your team connect and ship great code effectively.

Here are some of the things we are looking for

5+ years building and operating production Python (or equivalent language) services at scale - this is a software engineering role first; strong system design and coding proficiency are non-negotiable
A track record of owning services or pipelines in production, including operational/on-call responsibility, incident response, and managing technical debt over time
Deep understanding of distributed processing principles (Spark, Dask, or similar) alongside strong SQL capabilities
Demonstrated experience integrating ML models or LLM-based features into production systems - you don't need a research background, but you should be comfortable working alongside Applied Scientists to productionize their work
Familiarity with ML tooling such as MLFlow, TensorFlow, or PyTorch, and data orchestration tools like Airflow or Prefect, is valued but production engineering depth matters more than research exposure
Nice to have: prior experience applying or fine-tuning LLMs in a product context, though this is not a substitute for the core software engineering bar above

Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Apply Now

Refine Your Search

infrastructure engineer jobs in dandenong, vic

Senior Engineer - ML Systems (AI Products)

Senior Software Engineer

Design Manager - High Voltage Substations

Senior Engineer, ML Systems (AI Products)

Senior Project Engineer (VIC/SA)

Sr. Cybersecurity Applications Engineer, Megapack

Manager - Primary Design

Lead Software Engineer - Mobile

Senior Software Engineer - New Homes Engage

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