Junior Engineer Career Development Videos, Forum, and Q&A

I transitioned into a backend engineering role 1 year ago after working as a data analyst for 3 years. The jump was definitely big to me, as I had to learn a lot of new concepts (OOP, clean code, architecture, devops etc). The transition was done through internal hiring where they did a live coding interview (2 LeetCode easy), a live system design interview, and motivational interview. I passed all of those and ended up in a high-paced team.

The team was severely understaffed. The manager was managing 3 teams that decreased from 20+ people to <10 people and there was hiring freeze. There was no proper onboarding and all the seniors were too busy with tasks to help me properly. I did my best to read the documentations and set up 1-1s with more senior engineers from other teams that could help me. I finished several projects although carried over some to the next half.

My 1st performance review was "meet expectations". However, before my 2nd performance review, there was a manager change and this manager gave me "partially meet expectations" and then said that I would be put on PIP program. When I asked the manager what the program would be like and how many people completed this successfully, he/she couldn't give a definitive answer and said that HR would be in touch with me.

I decided to quit and spend time to learn more fundamental concepts and take up a freelance project. It's been 2 months since then. Right now I feel like I'm learning a lot in these 2 months compared to my 1 year in that company, but I can't help but feeling very anxious with all these layoffs and the incoming tech winter. I don't have any self-confidence within myself that I would get any decent job. I'm just worried that when I'm interviewing at my next job, the career gap in my resume and the past potential PIP would hurt me. I'm also at loss on how to avoid potential PIPs in the future. Any advice to help me? Thank you very much.

Edit: For more context, I didn't come from a CS background (I studied Mathematics). My team was not a revenue generator. The company was especially hit really hard during covid and had 2 big layoffs. When I left, there are many products that are being shut down and a couple of senior-level product managers left as well without being replaced due to hiring freeze. During the talk of my PIP, the manager brought up his/her expectations on me that was 1 level (mid-level) above my current level (junior-level).

My question is: since I work for a big tech company, does the company pay the tax for my vested shares, or do I?

Do you guys have any resources that could help with this? I am worry about the the tax liability aspect. As well should I talk to a CPA to be safe in my decision.

I have been seeking to develop habits / follow a system to increase code quality, both in terms of readability and number of functional issues. I have come up with a few ideas I have listed below but I am curious what other people have been trying out! Have any of the below worked for you? What specific steps do you take to ensure code quality?

1. More awareness while writing code: it's tempting to write a rough draft version of the code thinking you will polish it later but oftentimes it's easier to spot mistakes while your attention is on the erroneous line of code. Example of this in action: search for where the method you're modifying is used in the code base before making changes to it.
2. Do not submit the code for review immediately after writing the code. Give yourself a short break, come back and review your code with a fresh mind, which will make spotting bugs easier.
3. Write down the possible edge cases in a notebook before submitting the PR for review. For medium to large PRs, the process of writing itself can help you consider more edge cases than simply keeping them in your head.

I am working with AWS and I was just promoted from L4 to L5 SDE role. I am yet to have the revised compensation discussion with my manager and was thinking if it is possible to negotiate the offer. During the annual PCS conversations, it was mentioned that the managers have more leverage for salary negotiations during the promo review. I want to understand what parts of the compensation I can negotiate upon. Does anyone have experience with this?

Thanks!

I have the option to choose between iOS and Android when I start my job. I have minimal experience in each so I don't have a strong preference.

Which platform would be better for my career in the US? Is demand for iOS engineers higher because iOS users typically pay more? Or does platform not really matter much?

I’m a junior/mid with 1.5 YOE who has learnt to touch type recently with a speed of around 65 wpm.

I’ve read a lot of the q&as on productivity and code velocity and have even watched Rahul’s YT vid on working efficiently in Android (IDE shortcuts etc.)

Will I be able to perform at the velocity needed for an E4 at say meta with only a 65 wpm typing speed?

What do people feel is acceptable for a top-tier tech company?

Would you recommend software engineers try a rotation as an SDM (software development manager)? What benefits or drawbacks would you say would come from making that switch to SDM?

I've heard that situations at Atlassian and other companies in general can be very competitive to the point where engineers are competing against each other for survival with systems like stack rank and team quotas. I'm wondering what's the best way to navigate through systems like these.

I recently interviewed with Meta for a E4 level SDE role and was given a hire decision but for E3 level instead. However since my recruiter is unaware of any E3 roles currently, they are unable to move forward with my application. I reached out to other recruiters but with no response. What could I do in this situation? Kindly advise.

I started working at Shopify in the product side. It's backend API development focused with some full stack elements. However with AI popping up everywhere, I get the feeling that to be employable in the future, I need to get a job as an AI engineer or work on a team that focuses on it. With Shopify heavily relying on rails as well which is seen as an older framework, I don't know if I'll have a competitive edge in the future.

In July, I received a mid-year evaluation indicating room for improvement, with a rating of 2 out of 5 on the scale. My goal is to achieve an outstanding rating by this time next year. Here are the areas my manager provided feedback on for improvement:

He is a college hire, so he is a very junior developer.  He is an enthusiastic member of the team and seems eager to make contributions. He has struggled to learn the fundamental skills required for the job (programming, database, web development).  He will need to improve upon these skills in order to make contributions to the team with little assistance from his peers.

I'm a React developer and for the most part am able to accomplish tickets assigned to me; however, what I struggle with is when I have a particular ticket that is heavily logic focused.

For example, recently I had to implement a multi date picker for a booking engine and between the many different cases for user interactions and date comparisons, I feel it took me way longer than it should have.

In order to optimize improvement in this area, would it be worth it to grind leet code style questions? or maybe codewars?

Are there any book recommendations I can listen that are fun? Are there any books that helped you in your career that you recommend?

I joined Meta very recently, so I'm in bootcamp. However, the company just announced a mass hiring freeze, so teams aren't taking in bootcampers at all effectively (there are very few exceptions). It's not clear when this freeze will end. Teams are still giving bootcampers tasks as they understand that we're pretty much "free" labor.

This is such a weird situation, and I feel like I'm spinning my wheels. I like Meta as a company a lot, but I'm unsure how to make the best of this situation. Any advice?

Preparation: Standard top 100 LC problems + Infra System Design Problems + Behavioral problems (STAR)

Interviews

Meta phone screen: Asked two questions directly from the top 50 LC tagged (Array Sum and Tree BFS categories). Aced both questions and was notified the next day that I had moved on to onsite.

Onsite prep: This would be my first system design interview and I didn't want to mess it up. I booked multiple mocks and though they weren't cheap, I was satisfied with the overall quality, feedback, and accurate grading.

Meta onsite 1 (coding): This round tripped me up and I was disappointed given how much I had prepared 🙁

• First question: (got optimal runtime, but not optimal space)
• Second question: Multiple binary searches on an array (did not get the optimal solution, couldn't find a question to tag)
• Immediately after the round, I realized my mistakes on both questions but couldn't go back and change it 🙁

Meta onsite 2 (behavioral): No surprise questions and I answered them to the best of my capacity stressing my ability to work with other people specifically

Meta onsite 3 (system design): The question is similar to

• I had trouble understanding the interviewer and threw all my system design knowledge out there. There wasn't much discussion but I did mention concepts such as inverted index, sharding, replication, hot partitions, cache invalidations

Meta onsite 4 (coding)

• This was my strongest performance and I was proud of myself after this round. I solved both questions optimally
  • Question 1: (LC Hard)
  • Question 2:
• Surprisingly (given my other rounds) I received a call the next day saying that they wanted to give me a follow-up coding round

Meta onsite 5 (follow-up coding)

• I fumbled this round, which was especially heartbreaking. The questions were related to Palindrome (LC Hard) and Grid DFS
• Same day I was notified that I was rejected 🙁

Eye-opening experience overall and I know I have much more work to pass next time around. Total time: ~1.5 months