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Amazon Web Services

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Get your foot in the door to IT! - Data Center Technician III Amazon Web Services Employee Review

4.0
22 July 2024
Recommend
CEO approval
Business outlook

Pros

It's honestly not bad working as a Data Center Technician, especially if you have no prior experience or have no idea about computers or the IT world. You get trained from day 1 and you can see your knowledge progress as days/weeks/months progress. AWS offers the ability to obtain Amazon certifications and your college, that you can obviously add to your resume. Lastly, you work 4 days a week, 10 hour days, in the morning, afternoon, or night.

Cons

A little labor intensive, and you won't have both Saturday and Sunday off, but you'll have one or the other depending on your shift, but you will have the weekends off if you somehow work Mon-Fri. Also, once you learn all aspects of the job, you could feel as if you're doing the same things all day everyday, but that just depends on your own work ethic and decisions on what equipment to work on.

Explore other reviews about Amazon Web Services

5.0
18 June 2026
Recommend
CEO approval
Business outlook

Pros

Good mentorship. Learned a lot.

Cons

High performance didn't translate into full time offer

4.0
12 May 2026
Recommend
CEO approval
Business outlook

Pros

Operated in systems that had real scale, operational constraints, and production consequences.

Cons

Working at Amazon Web Services gave me strong exposure to distributed systems, operational ownership, and production-scale infrastructure, but there were definitely tradeoffs as well. One downside was that, like many large organizations, ownership could become fragmented. You often own a subsystem or workflow rather than an entire product end-to-end, which can limit exposure to broader architectural decision-making unless you deliberately seek it out. There was also significant process overhead. Design reviews, operational processes, dependency coordination, and organizational alignment were valuable for learning rigor, but they can slow iteration compared to smaller engineering teams. Another challenge is that large internal ecosystems can abstract away infrastructure complexity. AWS has extensive internal tooling, deployment systems, and operational platforms, which are powerful, but some of that experience does not transfer directly outside the company. I also found that operational work could dominate engineering time at points. Handling production issues, retries, integration failures, and on-call responsibilities teaches reliability engineering well, but it can reduce the amount of time spent on deeper technical exploration or greenfield development. Finally, there is the perception aspect. AWS is a strong name, but experienced interviewers know there is wide variance between teams and roles. The company name opens doors, but ultimately you still need to demonstrate technical depth, ownership, and strong engineering judgment independently of the brand.

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