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From India to Tokyo: a backend engineer offer at Mercari in four rounds

I had been working as a backend engineer in India for a few years, and I felt I had reached a limit in the kind of work I was seeing. I wanted to work in a different market, with different engineering problems, and to learn more than I already knew. So I looked for international roles instead of only reading the usual local listings. I found a job platform focused on relocation, which filters for companies that sponsor visas and pay for the move, and I spent a few evenings each week going through the listings methodically. That is how I found Mercari in Tokyo. I had been following the company for some time. They were doing interesting things at scale, and the backend opening looked like a good fit. I applied through the platform and heard nothing for about ten days, and I was sure the application was dead. When they answered, the process had four structured rounds over about two months. The first was a live coding session where I shared my screen and solved problems in real time, the kind of session where your reasoning matters as much as the final answer. The second was a deep technical interview with an engineer, about architecture decisions and about how I think through microservices: trade-offs, failure modes, how I would scale a specific system under load. That one I enjoyed most. It felt like a real conversation between engineers. The third was a mixed technical and behavioural round with a hiring manager, mostly about how I work inside a team and how I handle uncertainty. The last round was with a VP and was mostly behavioural, but it also covered how quickly I could become productive in an unfamiliar tech stack. That was a fair question, because I was joining from a different market. My first interview was at the beginning of December and the offer arrived in February. I accepted the full-time, on-site role at 55,000 USD and started to prepare for the move to Japan.

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My first software job, 72k, and the interview with no leetcode

I graduated in the spring and walked straight into one of the roughest hiring markets I'd seen described in any of the forums I was reading to prep. It didn't dent my optimism at first. I built a spreadsheet, set up job alerts across a few major boards, and started firing off applications. Over about three months I sent close to 200: tailored cover letters for some, quick-apply submissions for others when the listing was clearly a long shot. The rejections came in waves, sometimes five or six in a single afternoon, and a few roles just went silent after a first-round screen. I made it to the interview stage at five companies. Four ran the standard process: a recruiter call, then one or two rounds of timed algorithmic problems. I'd been grinding practice problems for weeks, but there's a specific kind of pressure that hits when you're solving a graph traversal question while a stranger watches a timer count down, and I didn't always perform the way I knew I could. Those four ended without an offer. By month two the weight of it was getting to me. I was refreshing my inbox more than I should have, second-guessing whether I'd picked the right field at all. The fifth company was different from the first message. The listing mentioned a project-based interview format, which I almost scrolled past because I assumed it was marketing language. It wasn't. The interviews were conversational. We walked through real engineering decisions, talked about tradeoffs I'd navigated in my capstone project, and got into how I approached debugging something I'd never seen before. It felt less like a performance and more like a preview of the actual job. The offer came in on-site, full-time, at 72k, with relocation assistance, profit sharing, and unlimited vacation. After months of quiet rejections, the relief was physical. My honest takeaway: keep applying through the noise, but pay close attention to the companies whose process actually gives you room to show what you can do.

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Data Analyst at League after 80 applications: the take-home was the differentiator

I applied to about 80 roles over two months, and League was the only company that responded with a take-home before any call. Most of the applications went through job boards. I'd built a small spreadsheet to track them, partly because I knew I'd lose count otherwise, and partly because I wanted to look back later and see whether any of it was working. The honest answer was: not really. About 12% of applications got an automated rejection within 48 hours. About 6% got a recruiter screen. Most of the rest just disappeared. League's take-home arrived in week six of the search. It was a pleasant surprise. Most companies don't reply for two weeks, then ask for forty-five minutes of pleasantries before they'll talk about the actual role. League sent a real anonymized dataset, asked four questions, and gave me a week to send back the answers in whatever format made sense. The dataset was patient appointment data. A few hundred thousand rows, a handful of dimensions. The questions weren't trick questions. They wanted to know whether I could find the obvious thing first, whether I'd notice the less obvious thing after that, and whether I'd write up my findings so a non-analyst could read them. I spent two evenings on it. About four hours in total. Most of that was writing. The analysis itself was straightforward, but the writeup needed to be tight. I sent back a six-page PDF with the four answers, a few caveats about the data quality, and a one-paragraph summary up top. They moved me to a video interview the next week. Two analysts on the call, both of whom had read the writeup carefully. The questions were about what I'd left out and why. One of them asked, gently, whether I'd noticed an outlier I hadn't mentioned. I had, and I explained why I'd left it out. He said that was the answer he was looking for. Round two was with the head of analytics. Less technical, more about how I worked with PMs and how I'd push back if asked to produce a number that didn't tell the whole story. We had a real, slightly uncomfortable conversation about a project where I'd been asked to do exactly that, and what I'd done about it. The offer arrived three days later. CA$66,000 base, at the lower end of the band they'd quoted in the recruiter screen. I asked for the higher end, citing the depth of the take-home process and a competing offer that was close in cash but worse on scope. They came back at CA$70,000. I took it. The thing I think mattered most: the take-home was a filter for how you communicate. The technical work was easy. The writeup was the test. Every analyst I've worked with since has said something similar about hiring. They want someone who can explain the answer to a stakeholder who doesn't care about the query.

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