Data Center IT Support Engineer, MEL - DCO
Amazon is hiring a Data Center IT Support Engineer, MEL - DCO in Melbourne, Australia. Level rates it ; you can apply on Amazon.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Level classes it as a junior role.
- Amazon has 21,000+ other open roles on Level.
- Posted in the last few days.
AI in this role
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.
Data Centre Operations designs, installs and maintains the world’s largest Computing Infrastructure. We are looking for skilled Data Centre Technicians with a passion for technology to help us expand to the next level.
More about us:
Amazon Web Services (AWS) offers an exciting, dynamic and challenging environment encouraging creativity and personal development while maintaining AWS computing environments in a secure, scalable, and cost-effective manner.
Mid 2012, AWS S3 web service accepted its 1 trillionth object, currently accepting more than 40,000 objects uploaded every second on a daily basis. To keep up with this demand on both disk and capacity, we continue to expand our Data Centres in every region! Our content delivery service, Front, has expanded its Data Centre presence by over 50% worldwide in the last 12 months and are expected to continue increasing! This requires talented people to build and manage. We hope it is you!
The Opportunity: Data Centre Technician
This role is a unique opportunity to work in some of the most advanced data centres in the world. Amazon data centres are large-scale high-density centres where you will be working on changing the face of technology in the region.
A Data Centre Technician may be the primary point of contact for both internal customers (for example: Engineers, Systems Engineers, Software Developers, Database Engineers, Technical Operations) and external customers (Vendors, Contractors, Service Providers among others). There is never a dull moment as each day presents itself with different challenges.
Key job responsibilities
Some of the key responsibilities you will undertake are:
Problem Solving: Maintain a high level of system reliability by prioritising and resolving trouble tickets efficiently, these include:
- Escalation point and technical trouble shooter for all Systems and problems
- Deep diving into server issues
Technical: Troubleshoot technical issues on various platforms ranging from Systems through to Power/Mechanical
- Remediation of physical layer outages, both Systems & Network
- Remediation or recovery of physical power issues on racks
- Participate in Data Centre power and cooling events
Operations:
- Meet 24x7 On-Call requirements and response during shift rotations.
- Install and configure racks of hosts in line with internal SLAs
- Triage and resolve trouble tickets for all devices in your region
- Data Centre point of contact for all High Severity issues
- Physical replacement of server and network device parts
- Ensure correct rotation of parts and spares
- Help define metrics to increase our customer uptime
- Enforcing Amazons Security Best Practices
- Interact with third party vendors and contractors
- Contribute ideas to improve operational efficiency
Project Management:
- Participate in and deliver on a number of high impact small to mid-scale projects
- Participate in team meetings for metric analysis and project status updates
- Help build the world’s largest Cloud infrastructure
Mentoring:
- Share knowledge and help educate less technical staff on the best practices related to all service owner issues
Hiring:
- Contribute towards building a great team by getting involved in the Amazon hiring process/candidate interviews
** For more information on Amazon Web Services, please visit https://awsinfraops.splashthat.com and http://infrastructure.aws**
About the team
About AWS
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
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
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.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship 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.
Basic qualifications
- 1+ years of computer networking experience
- 1+ years of Linux operating systems experience
- Bachelor's degree in Information Technology, Computer Science, or a related field
- Experience in computer networking
- Experience working with Linux operating systems
- Can lift and rack equipment up to 40 pounds
- Experience with computer hardware troubleshooting and repair
Preferred qualifications
- Can work in cramped spaces or in elevated locations while adhering to health & safety guidelines
- Experience dealing effectively with customers during problem resolution and operating efficiently under pressure
- Experience managing work and priorities through a ticketing system
- Experience with cabling infrastructure best practices and methodologies
- Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment)
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
How we rate this
Data Center IT Support Engineer, MEL - DCO at Amazon rates 38 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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