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Technical Interviews
We aim to make interviewing at Gro interesting, efficient, and fun
Interviewing@Gro
We know your time is valuable and interviews can be high-pressure situations - we want every candidate to have a positive experience. During engineering interviews, we are looking to see a strong technical knowledge base, as well as an ability to apply this knowledge to our long-term goal of becoming the go-to platform for climate and agricultural data.
For an engineering role at Gro, you will typically take part in three to five technical interviews, as well as a final round with our CTO. The number of interviews will depend on the seniority and focus of the role you are applying for. A typical interview slate includes two coding interviews and two further technical interviews focused on different areas of practical experience. Your recruiter will explain all of the steps for your specific experience upfront and answer any questions that you may have.
For the coding interviews, we use a basic shared IDE and ask you to share your screen. You can typically choose the programming language you’re most comfortable with and set the interview schedule at your own convenience. We are also committed to making sure you know the status of your application as soon as it changes - no ghosting, ever.
What we are looking for
Talking us through your solution
Think out loud and be responsive to feedback
Humility and receptivity
Understanding the boundaries between what you know and what you don’t
Technical skills
A strong command of your chosen language and the applicable technical concepts
We are not concerned about perfect syntax - we recognize that coding in an interview is a specific type of challenge. Likewise, we don’t have an expectation that candidates will immediately start to code the optimal solution to a problem - naive or intermediate approaches can be a great starting place to evolve from. In the end we are primarily interested in how you approach the problem, and if you can reach a viable solution.
Interview Topics
Data Structures
A lot of what you will do here will likely involve storing and accessing data as efficiently as possible
Selecting an appropriate structure
Understanding design tradeoffs as well as their impact on memory management
Algorithms
We want to test your ability to solve algorithmic problems with your code
Knowledge of the strengths and weaknesses of common algorithms such as traversals, binary search, BFS vs DFS
Implementing a good solution
Systems Design
We are building for scale, and we think it is valuable for our software engineers to have a strong understanding of topics that can affect performance
Memory management and multithreading
Distributed systems topics like microservices
Load balancing and distributed caching