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Amazon Web Services

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Interesting Experience - Cloud Solution Architect Amazon Web Services Employee Review

5.0
5 Mar 2026
Recommend
CEO approval
Business outlook

Pros

Good place to work, they give you all the resources you need to manage on your own. Don't expect someone to guide you step-by-step or day-to-day; everyone is busy trying to "survive" just like you. Great learning experience and friendly work environment. Allow a short period of time (2 to 4 years) to do your work, grab your money, and get out.

Cons

No one will ask you to work extra hours, but your workload and scope will gradually increase until it becomes impossible to handle everything working 8 hours a day, so you'll soon be working overtime without realizing it. Training and growth opportunities exist, but you'll have to dedicate your personal time if you want to progress (weekends and holidays). Burnout and exhaustion are quite common, try to manage your time as best as possible. WLB talking starts on hiring process and finishes on 1st project sprint.

Explore other reviews about Amazon Web Services

5.0
27 May 2026
Recommend
CEO approval
Business outlook

Pros

Great job. I’ve learned so much it is just hard with 5 day rto

Cons

The 5 day RTO mandate

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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