Acing the Code Assignment Interview – Tips for Interviewers and Candidates

One of the most common practices today as part of the interview process are take-home assignments. However, though practical and valuable, this practice is tricky and needs to be used wisely to be beneficial. On the candidate’s side, it is not enough to only solve the tasks, as there are a few more things you can do to make your submission shine and impress the reviewers. On the employer’s side, companies have the challenge of creating a good assignment that will help assess the candidates and make the company attractive in the eyes of the candidate.

This week I took part in DevDays Europe Conference!
I was honored to participate in 2 sessions:

I moderated a “Leadership for Engineering Teams in Remote Work Era” session. The recording can be found here.

The session ended up with a few reading recommendations – Radical Candor, Six Simple Rules, Conscious Business, and The Promises of Giants.

I also talked about “Acing the Code Assignment Interview – Tips for Interviewers and Candidates”, sharing my experience from our recruitment process at Lynx.MD. The recording can be found here and the slides are here.

A summary of my tips –

For candidates – plan ahead, document your work, and polish it by proofreading and linting just before handing it over, use version control tools and write tests to emphasize the added value you bring.

For companies – make the test relevant for the position and the candidate, respect the candidate’s time and be available for her. Know your biases both when giving the assignment and when evaluating and giving feedback.

We raised 12M$ seed funding

In the last year and 3 months, I work for Lynx.md. We develop a medical data science platform that bridges the gap between data owners and data consumers while taking care of de-identifications, privacy, and security aspects of sharing data.

10 days ago we announced that we raised a 12M$ seed funding and we are hiring – DevOps engineers, data engineers, data scientists, backend \ full-stack \ frontend developers, product managers. Our tech stack includes – Python mainly using FastAPI, Django, pandas, etc., AWS (but will soon add Azure too), Postgres, elastic search, Redis, Docker. Super interesting challenges with added value. Feel free to reach out if you want to learn more.


Read more about us – https://www.calcalistech.com/ctech/articles/0,7340,L-3924888,00.html