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Amazon Web Services

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A lot of donkeywork and bad work/life balance - Senior Software Engineer (L5) Amazon Web Services Employee Review

2.0
19 Dec 2023
Recommend
CEO approval
Business outlook

Pros

- Mega-Backdoor Roth IRA (you can save a lot on taxes using this) - You get to see how such a big and critical service as AWS operates. There is a lot to learn on the good procedures and protocols that are in place here, that keep AWS working like a clock, prevent bad decision makings (mostly) and make the system anti-fragile. Procedures such as CorrectionOfError (CoE), Operational Readiness Reviews, API Bar Raisers, Working backwards from a hypothetical press release, ... - The UI design system (CloudScape) is marvelous. UI work is so much smoother than other companies because of it. - Culture encourages engineers to challenge managers and seniors on their technical decisions. No shame in calling out your manager or disputing a design document. - Culture of writing a lot of documents especially design docs and consulting the whole team before acting.

Cons

- Culture of bad work/life balance, even in the Boston office. It's not limited to Seattle HQ. - Your work even as senior software engineer is mostly donkey work. It's like fixing 1000 bugs. It serves no purpose for your career development. Most tooling is internal Amazon-specific so no transferable skills there either. - Perks are terrible compared to other FAANG (401k match only 4%, only 6 holidays per year, no gym expense, ...)

Explore other reviews about Amazon Web Services

5.0
17 May 2026
Recommend
CEO approval
Business outlook

Pros

Good work culture Supportive leaders

Cons

No cons Full time onsite is tough

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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