Systems Administrator jobs in Australia

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.You will be a part of the global BIM technology team responsible for implementing, managing, and adopting new BIM technologies and systems to support the design, construction, and operation of Amazon-owned data center facilities.You will be responsible for administering and implementing new BIM systems. You will oversee the day-to-day operations of such tools and propose process improvements. You will work with BIM stakeholders to collect requirements and coordinate development with the engineering team.Key job responsibilities
- Administer BIM Common Data Environments, such as Autodesk Construction Cloud (former BIM 360), and other technology solutions.
- Use technology to design, develop, deploy, test, and maintain BIM solutions.
- Produce comprehensive, usable BIM systems documentation.
- Evangelize, educate, and support primary design technology applications.
- Contribute to the development of technical solutions, programs, or scripts that use BIM API and SDK such as Revit and Autodesk Platform Services.
- Coordinate information management, smart object metadata and classification codes with asset information databases.
- Perform BIM data QA/QC and analysis.- Assist with establishing and maintaining BIM standards, processes, and workflows across regions.Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSWork/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 5+ years of non-internship professional experience administering and implementing BIM programs and systems.
- 5+ years of working with Revit, Autodesk Construction Cloud.
- 3+ years of using BIM API and SDKs.

Key job responsibilities
- Define and/or refine system requirements, participate in the development and delivery of operability-related features such as system health monitoring, diagnostics, repair, and other self-healing automation
- Develop or further existing application and system management tools and processes that reduce manual efforts and increase overall efficiency- Participate in the design and execution of production acceptance tests and new hardware evaluations
- Monitor the health of the fleet, automating system health, maintenance tasks, and reporting systems as needed
- Participate in “on-call” rotations to resolve incidents occurring out-of-hours.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 3+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with Linux/Unix

- Experience with distributed systems at scale

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This involves planned preventative maintenance of equipment, daily corrective work, and emergency response. The CE serves as an expert technical resource interacting with onsite Engineering Operations Technicians (EOT) and any third party vendors. They are expected to be a singular focal point for all facility operations within a given data center and to support AWS.Key job responsibilities
• Management and leadership of DCEO Engineering Team
• Establish performance benchmarks, conduct analysis, and prepare reports on all aspects of the critical facility operations and maintenance
• Responsible for the on-site management of shift technicians, senior shift technicians, sub-contractors and vendors
• Oversee operation and management of routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc
• Data Center capacity planning and reporting
• May assist in the design and build out of new facilities
• Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency
• Deliver quality service and ensure all customer demands are met
• Responsible for asset and inventory management
• Respond to out of hours emergency calls – second level escalation point for Data Center acilities related issues / failures

- Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field
- Experience in vendor management
- Experience in a data center or other critical environment
- Experience in data center engineering or operations
- Experience with Microsoft Office including Outlook, Word, and Excel

- Experience in construction or project management

Key job responsibilities
- Define and/or refine hardware requirements, participate in the development and delivery of operability-related features such as system health monitoring, diagnostics, repair, and other self-healing automation
- Develop or further existing application and system management tools and processes that reduce manual efforts and increase overall efficiency- Participate in the design and execution of production acceptance tests and new hardware evaluations
- Monitor the health of the fleet, automating system health, maintenance tasks, and reporting systems as needed
- Participate in “on-call” rotations to resolve incidents occurring out-of-hours.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 3+ years of experience with Linux, using the command line and basic administration, and computer networking fundamentals
- 3+ Years of Operations experience working with CI/CD Pipelines and deployment systems like; Terraform, Github Actions, Jenkins, or others
- Able to troubleshoot at all levels, from network to operating systems to software applications
- 3+ Years working in Linux or other UNIX based Operating Systems
- Experience supporting cloud systems or other services. Proficient troubleshooting and anticipating problems that affect the performance, reliability, or availability of software systems

- Experience operating 24x7 high-availability, distributed software applications and performance tuning software applications and optimizing fleet utilization
- Understanding of network fundamentals (DNS, DHCP, TCP/IP, routing, load balancing, load shedding) and experience with monitoring frameworks (such as CloudWatch, Datadog, Grafana, Elastic or similar)
- Experience scripting operating system tasks in Bash, Python, etc. and with Infrastructure as Code, (such as CDK, CloudFormation, Puppet, Chef, Ansible, or similar)

Key job responsibilities
As an Applied Science, you will have access to large datasets with billions of images and video to build large-scale machine learning systems. Additionally, you will analyze and model terabytes of text, images, and other types of data to solve real-world problems and translate business and functional requirements into quick prototypes or proofs of concept.

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience using Unix/Linux
- Experience in professional software development
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience in deep learning models for life sciences; knowledge of protein biology.