Toxic managers often don't know how tech works but blame people when delivery is delayed. Most non-technical managers (coming from TPM, non-SDE roles) handle tech teams and blame team members without understanding tech concepts. They are never supportive, only caring about project delivery, which can lead to launching bad products.
A Performance Improvement Plan (PIP) can be targeted at good performers due to unregretted attrition (URA) quotas. This is done as part of OLR meetings through stack ranking, potentially causing a PIP without a fair explanation. The statements in PIP documents use vague terms and do not clarify performance metrics. Bad managers use favoritism when targeting someone for a PIP. If you are very close to your manager, the probability of getting a PIP is lower than for someone who is not talkative to their manager.
The average tenure for SDEs is the lowest among other FAANG companies (you know why).
Use PIP to actually improve someone's performance by mentoring. Stop stack ranking and mandatory URA quotas.
Work for your employees to support the LP "earth's best employer," or please remove the LP.
Hiring bar should be higher for managers. Ensure diversity across the teams to have better team dynamics.
The interview process for the Software Engineer role at Amazon included an initial online assessment, followed by multiple rounds of technical and behavioral interviews. The technical rounds focused on data structures, algorithms, and system design,
Coding round sent on HackerRank. It included: * Two LeetCode medium-to-hard difficulty questions to be done in 90 minutes. * An untimed work style assessment covering 5 work scenarios, with options to choose the best response to a given situati
The interview screening process involved three technical questions online. Next, I had to take a test that quizzed me on how I would handle certain scenarios at Amazon via email. The final round consisted of four interviews: three technical and one
The interview process for the Software Engineer role at Amazon included an initial online assessment, followed by multiple rounds of technical and behavioral interviews. The technical rounds focused on data structures, algorithms, and system design,
Coding round sent on HackerRank. It included: * Two LeetCode medium-to-hard difficulty questions to be done in 90 minutes. * An untimed work style assessment covering 5 work scenarios, with options to choose the best response to a given situati
The interview screening process involved three technical questions online. Next, I had to take a test that quizzed me on how I would handle certain scenarios at Amazon via email. The final round consisted of four interviews: three technical and one