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Home › Jobs › Machine Learning › Systems Engineer - Windows, Region Services
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Systems Engineer - Windows, Region Services

Amazon Web Services
Melbourne
Experience0-2 years
Salary Not disclosed
LocationMelbourne
Job TypeFull time
Skills: Machine Learning Python
Job Description
Job Title: Systems Engineer - Windows, Region Services Company: Amazon Web Services Job Category: Machine Learning Roles & Responsibilities: The AWS Region Services team combines AWS global cloud leadership with Australian security expertise to deliver highly secure, scalable environments for sensitive workloads. We’re creating innovative ways to use cloud computing, artificial intelligence, and machine learning while maintaining the highest standards of security and operational excellence. This is an opportunity to make a lasting impact on Australia’s digital future. You’ll work with AWS services, implement innovative solutions, and help customers succeed in their most important missions. We’re committed to helping our builders grow through continuous learning, mentoring, and collaboration with industry experts. Are you ready to build the future of secure cloud computing in Australia? Key job responsibilities The Systems Engineer contributes to the design, implementation, and automation of complex Windows infrastructure solutions across multiple environments. This role supports the infrastructure automation, system architecture, and Windows environment management, focusing on developing automated solutions for managing large server fleet. * Provide technical support for Windows Server infrastructure systems and Active Directory services * Perform system maintenance, updates, and patch management for Windows environments * Develop and implement automation solutions for routine support processes using PowerShell and other scripting tools * Maintain accurate documentation of all support activities, and contribute to knowledge base and runbook development * Participate in on\-call rotation to ensure 24/7 system availability Region Services provides the highest caliber Operational Solutions and Cleared Support for services within our Regions. We provide 'hands on keyboard' support to our service teams by deploying changes into these isolated regions, monitoring the results, and reporting any issues that are observed. We value work\-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Work Location: Melbourne, VIC, Australia Availability: Full time
Requirements
Applicants must be Australian citizens and hold or be eligible to obtain an Australian Government Security Clearance with the ability to successfully complete an Organisational Suitability Assessment. For more information regarding security clearances please visit (https://www.agsva.gov.au/). 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. * Bachelor's degree in Computer Science or other technical degree or related experience * Knowledge of networking fundamentals * Experience with a scripting language such as PowerShell, Python, Bash, Perl, Ruby or similar * 1\+ years of site reliability engineering (SRE), systems engineering, systems administration, DevOps, security administration, or network administration experience PREFERRED QUALIFICATIONS ---------------------------- * 2\+ years of site reliability engineering (SRE), systems engineering, systems administration, DevOps, security administration, or network administration experience * 2\+ years of building scripts, tooling, and automation for large\-scale computing environments experience * Knowledge of DevOps practices and tools including Continuous Integration / Deployment, Puppet, Docker, Kubernetes, Chef etc. * Experience in networking and troubleshooting Key Skills: Machine Learning, Python Salary: Not disclosed
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