harisrid Tech News
Spanning across many domains – data, systems, algorithms, and personal
recent posts
- BEHAVIORAL INTERVIEWING : OBSERVATIONS NOTICED
- SENIOR BEHAVIORAL INTERVIEW PREP : Working with Limited Information and Making Wrong Decisions. And the lessons learned.
- Data Engineering Interview Insights: Key Skills & Challenges
- INTERVIEWING – System Design – What Does an Evaluation Resemble?
- BEHAVIORAL – A Junior Level Story : Server Diff Testing
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Category: interviewing
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Behavioral Interviewer : “Tell me about a time you had to deal with limited information and you made a wrong decision.” A Primer It’s a stumpy question for senior-level and above behavioral interviews; I’m still determining the most appropriate manner to story tell. But here I go 🙂 !!! Situation I’m working as a senior…
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A primer I’ve prepped behavioral interviews in the past, primarily targeting for senior-level or staff-level positions at companies, but I still think that it’s a good exercise to work through written example at lower engineering levels. What do stories resemble for entry-level new graduates or mid-level engineers? What should they communicate if they wind up…
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A Primer Alright, this is another topic on my mind and something I want to cover. Networking. Network. Network. Network. Because experiences running through multiple mock interview sessions – as interviewee and as interviewer – have taught me that many of us struggle and under-utilize their innate networking opportunities. And I’ll explain. Both the interviewer…
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A Primer Because oftentimes, the reverse direction is much harder. That, and candidates seldom communicate feedback to their interviewers. Alright, so I’ve conducted a fair number of DS&A interviews on interviewing.io, algoexpert.io, and pramp.io, and if there’s anything I’ve personally learnt, it’s that interviewees badly struggle to communicate feedback to their interviewers. And that’s understandable.…
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A second example always helps!!! In this case, I’m sharing a case study highlighting a unique set of strengths & weaknesses ( since all candidates think differently ). Strengths & What Went Well : Areas for Improvement : Advice for future interviews : Open Notes : Leveling Determination :
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I’ve always wondered what it really looks like from the other side too 🙂 An Introduction I’ve conducted mock algorithmic interviews on interviewing.io, and I thought it’d be cool to share a quick example of what good interviewing feedback looks like. Personally, it takes me 5-10 minutes to write up feedback, because I want to…
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And I guess a bit about how I run my meetings 🙂 Hmmm this is a really good question. What’s my role? I think I wrote about this a while ago, but as a senior engineer, I used to envision my role entailing a “calling the shots” frame of reference. That my decision-making would be…
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Hi all, Today, I’ll review a challenging delegation scenario, where I coordinated multiple parties to tackle concurrent upcoming feature. Situation It was end of Q1 of 2024; Q2 was starting up, and my team and I finalized the delivery of the first phase of the Feedback loop project. The end-of-Q2 deadline to meet NYDFS compliance…
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Why real-world applicability? Today, I want to share one of my favorite leetcode problems to solve, and why I think it’s a worthwhile problem to stress test possible candidates. Since I’m someone who’s solved a boatload of Leetcode problems, I’m always thinking about how interviewers can select for better problems and index for candidates who…
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