At a Glance
- Tasks: Troubleshoot and resolve data centre infrastructure challenges while maintaining IT hardware.
- Company: Join Amazon, a leader in cloud computing and innovation.
- Benefits: Flexible work-life balance, mentorship, and career growth opportunities.
- Other info: Inclusive culture that values unique perspectives and encourages bold ideas.
- Why this job: Be part of a diverse team solving real-world tech problems in a dynamic environment.
- Qualifications: High school diploma and experience in computer hardware troubleshooting.
The predicted salary is between 31500 - 38500 £ per year.
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles.
In This Role, You'll:
- Serve as a primary technical resolver for data center infrastructure challenges
- Work within the Data Center Operations (DCO) team to maintain IT infrastructure and hardware
- Develop expertise in various hardware and software troubleshooting scenarios
- Lead resolution of infrastructure issues and coordinate with solution teams on complex cases
- Help drive continuous improvements
This position may include shift work and may require rotation between locations.
Key job responsibilities
SAFETY
- Follow and maintain the highest safety standards and diligently encourage a world‑class safety culture.
- Own the safety initiatives and projects to foster a strong safety culture.
DATA CENTER OPERATIONS (DCO)
- Diagnosing hardware and network problems followed by physical repairs
- Troubleshooting events within internal Service Level Agreements (SLAs)
- Performing root cause analysis of equipment failures
- Manual handling and lifting of equipment may be required (weight limits in accordance with regulations)
- On‑call rotation reaction to off‑duty emergency calls (if applicable)
AWS 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.
BASIC QUALIFICATIONS
- High school or equivalent diploma
- Experience with computer hardware troubleshooting and repair
- Experience in networking
PREFERRED QUALIFICATIONS
- Experience dealing effectively with customers during problem resolution and operating efficiently under pressure
- Experience in Linux and Networking protocols, or experience in Network protocols like DNS/DHCP/TCP
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills.
Data Center Technician, DCC Communities employer: Amazon Web Services (AWS)
At Amazon Web Services (AWS), we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our UK team is dedicated to employee growth, providing ample opportunities for professional development and mentorship while working with cutting-edge technology in the cloud sector. Join us to make a meaningful impact by guiding strategic customers towards successful cloud operations and shaping the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Center Technician, DCC Communities
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Amazon Web Services (AWS)!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Center Technician, DCC Communities at Amazon Web Services (AWS).
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Amazon Web Services (AWS).
✨Apply Directly through Our Website
When you find a suitable opening like Data Center Technician, DCC Communities at Amazon Web Services (AWS), make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Center Technician, DCC Communities
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Amazon Web Services (AWS), your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Amazon Web Services (AWS). Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Amazon Web Services (AWS)
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Amazon Web Services (AWS)!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.