In-Demand Staff cloud infrastructure security engineer Jobs in Ultimo Nsw

Staff Machine Learning Engineer (Platform)
Neara —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Writing skills
- AWS
5d
Staff Software Engineer - Mobile (IOS/Android)
Commonwealth Bank —Sydney NSW
- Full-time
- Writing skills
- DevOps
- Systems design
7d
Staff Engineer Chapter Lead – Generative AI
Commonwealth Bank —Sydney NSW
- Full-time
- Systems design
- Master's degree
- AWS
Deployment Engineer
Qoria —Sydney NSW
- Azure
- PMP
- Parental leave
Solutions Engineer - Copilot
HSO Group B.V. —Sydney NSW
- Azure
- DevOps
- Organisational skills
Quick Apply
1d
Staff Software Engineer - React
Commonwealth Bank —Sydney NSW
- Full-time
- Azure
- Systems design
- SQL
Senior Network Engineer, Australia
Airwallex —Sydney NSW
- Full-time
- Hybrid work
- Computer Science
- Salesforce
- AWS
Staff Software Engineer
Freelancer.com —Sydney NSW
- Full-time
- Computer Science
- Engineering
- SQL
Quick Apply
Staff Software Engineer - React, Typescript
Commonwealth Bank —Sydney NSW
- Full-time
- Azure
- Systems design
- SQL
7d
Senior Microsoft Platform Engineer
Darumatic —Sydney NSW
- $1,000 a day
- Contract
- Hybrid work
- Microsoft Excel
- Azure
- Computer Science
Staff Platform Engineer / Lead Devops Engineer
Commonwealth Bank —Sydney NSW
- Full-time
- AWS
- AI
- Communication skills
Staff Pre-sale Support Engineer
SentinelOne —Sydney NSW
- Remote
- Azure
- Computer Science
- Customer service
- Employee stock purchase plan
- Health insurance
Quick Apply
7d
Desktop Support Engineer
Flying Bark Productions —Alexandria NSW
- Full-time
- Hybrid work
- Scripting
- Health insurance
- Work from home
Quick Apply
Professional Services Engineer
Datacom —Sydney NSW
- Hybrid work
- Communication skills
Quick Apply
1d
Senior IT Systems Engineer
The Missing Link —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Bachelor's degree
- SharePoint
- Free food
Quick Apply
Lead Engineer
Zurich Insurance —North Sydney NSW
- Full-time
- Hybrid work
- Master's degree
- AWS
- Machine learning
- Annual leave
- Parental leave
Staff Software Engineer – Full Stack (Next,js, React, GraphQL, Node.js)
Commonwealth Bank —Sydney NSW
- Full-time
- SQL
- APIs
- AI
Intermediate Software Engineer
ELMO Software Pty Ltd —Sydney NSW
- Full-time
- Hybrid work
- Azure
- SQL
- APIs
- Parental leave
- Employee assistance program
Quick Apply
Senior Systems/Cloud Engineer
Credit Corp —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Office
- AWS
- Health insurance
- Employee assistance program
Staff Backend Solution Architect Engineer
Heidi —Sydney NSW
- Full-time
- Hybrid work
- Master's degree
- AWS
- APIs

I want to receive the latest job alert for staff cloud infrastructure security engineer in ultimo nsw

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

staff cloud infrastructure security engineer jobs near ultimo nsw

Staff Software Engineer jobs in Sydney NSW

Machine Learning Engineer jobs in Sydney NSW

Solutions Engineer jobs in Sydney NSW

Service Engineer jobs in Sydney NSW

Back End Developer jobs in Sydney NSW

Senior System Engineer jobs in Sydney NSW

Platform Engineer jobs in Sydney NSW

Senior Network Engineer jobs in Sydney NSW

Software Engineer jobs in Sydney NSW

Engineer jobs in Abbotsford VIC

Staff Software Engineer jobs in Natural Bridge Qld

Junior Software jobs in Greater Adelaide Sa

Staff Software Engineer jobs in Collingwood Vic

Staff Software Engineer jobs in Kings Park Wa

Electronics Engineer jobs in Brisbane Qld

Staff Software Engineer jobs in Goolwa Sa

Staff Software Engineer jobs in Bendigo Vic

Staff Software Engineer jobs in Griffith University Qld

Staff Software Engineer jobs in Reid Act

School Learning Support Officer jobs in Campbelltown Nsw

Staff Machine Learning Engineer (Platform)

Neara
Sydney NSW

Apply Now

Job Details

Full-time
5 days ago

Qualifications

Data modelling
Azure
Writing skills
Google Cloud Platform
OS Kernels
AWS
Docker

Full Job Description

Imagine having the power to stress-test an entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara.

We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges and bring the most viable solutions to life across millions of kilometres of infrastructure.

By simulating extreme weather and structural stress at a network-wide scale, we empower the world’s largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future.

Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns the mission and we need smart, creative people to help us scale this impact to every corner of the globe.

The Staff Machine Learning Platform Engineer owns the infrastructure and systems that allow Neara's ML discipline to move fast, ship reliably, and scale without breaking.

Neara is conducting cutting edge research, developing multi-modal spatial frontier models. You will help the team run faster, helping overcome challenges that have never been seen before in the world. These models work with a range of less researched data types, including point cloud, geospatial data, and asset data. The lack of research maturity in the geospatial domain and novel nature of the problem presents unique challenges around performance, data unification, and deployment.

The problem and role stretch beyond pure research. These models will be deployed with our global utility and new vertical customers, delivering real value and increased climate resilience for critical infrastructure. Your role will be critical in both making sure we can develop frontier level spatial intelligence quickly and economically, but also in making sure we can deploy those models efficiently to our customers.

WHAT YOU’LL DO

Own the ML platform strategy end-to-end - Define and drive the multi-year technical roadmap for training pipelines, serving architecture, experiment management, and monitoring systems that tie it all together.
Build tooling that accelerates ML delivery - Develop foundational infrastructure that takes engineers from idea to production faster, standardising workflows and eliminating friction between experimentation and deployment.
Solve hard distributed systems problems - Enable training across distributed data with residency and security requirements, while ensuring models run efficiently across varied GPU hardware, including sparse tensor implementations and architecture bottlenecks.
Design scalable, flexible serving architecture - Define serving systems that handle spiky load in production while giving the ML team the freedom to experiment across regions, customers, tasks, and verticals.
Unblock the ML team at scale - Identify what's slowing the team down, define the contracts and interfaces between training, evaluation, and serving, and build the roadmap to turn ambitious research into routine delivery.

WHAT YOU’LL BRING

Significant hands-on experience building and operating training pipelines, distributed compute, model serving, and monitoring systems at scale.
Strong proficiency writing and optimising custom CUDA kernels for deep learning training, ideally across non-text/image data types, with experience diagnosing performance bottlenecks in sparse architectures.
Proven experience across production model monitoring, data quality frameworks, and training data warehouses brought to ML readiness.
Demonstrated ability to set ML platform standards, influence engineering roadmaps, and drive alignment on complex infrastructure decisions across teams without direct authority.
Proficiency in Python and PyTorch (or equivalent), strong system design instincts, and an R&D foundation that informs good prioritisation decisions.
Experience across AWS, GCP, or Azure, container orchestration (Kubernetes, Docker), and on-prem or neocloud environments.
A track record of leading, mentoring, and coaching ML engineers, raising the technical bar of the teams around you through hands-on guidance, documentation, and internal standards.

WHAT’S IN IT FOR YOU?

Competitive salary
Meaningful ESOP
Fully Flexible Work Environment. We have a fully stocked office (and an impressive snack collection) in Redfern.
Regular office events
The real benefit is working on a genuinely complex, innovative and industry-leading product, making a genuine difference in the world around us

To apply, please use the online application link below. Neara values diversity, belonging and equal employment opportunities. We encourage individuals from all backgrounds to apply.

No agencies or third-party service providers, please.
#LI-AP1

Apply Now

Refine Your Search

staff cloud infrastructure security engineer jobs in ultimo nsw

Staff Machine Learning Engineer (Platform)

Staff Software Engineer - Mobile (IOS/Android)

Staff Engineer Chapter Lead – Generative AI

Deployment Engineer

Solutions Engineer - Copilot

Staff Software Engineer - React

Senior Network Engineer, Australia

Staff Software Engineer

Staff Software Engineer - React, Typescript

Senior Microsoft Platform Engineer

Staff Platform Engineer / Lead Devops Engineer

Staff Pre-sale Support Engineer

Desktop Support Engineer

Professional Services Engineer

Senior IT Systems Engineer

Lead Engineer

Staff Software Engineer – Full Stack (Next,js, React, GraphQL, Node.js)

Intermediate Software Engineer

Senior Systems/Cloud Engineer

Staff Backend Solution Architect Engineer

I want to receive the latest job alert for staff cloud infrastructure security engineer in ultimo nsw

Related Searches

Explore jobs in more locations

Job Seeker Tools

Employer Tools

Browse

Stay Connected