Hey everyone! I'm a software engineer with 4 years of experience in both development and support/SRE roles. My tech stack includes Python, .NET, Datadog, Docker, and Azure. Recently, I've also picked up Kubernetes, Terraform, and Linux. I'm trying to make the leap into SRE or platform engineering at a top-tier company but feeling a bit lost. Should I focus on coding practice with LeetCode, or should I dive deep into Kubernetes and try to get certified? I know SRE roles require a mix of coding and infrastructure knowledge, but I'm worried I might not have enough time to master both. For those who have recently gone through interviews, what do you think is more crucial to succeed in the interview process?
2 Answers
The choice really depends on the specific role and the company culture. While you'll definitely need coding skills everywhere, some teams might rely more heavily on Kubernetes than others. If your interest lies in SRE, you might want to strike a balance between coding and Kubernetes knowledge. Generally, the coding difficulty for SRE/platform roles might be lower than SWE roles.
It's important to set your expectations right. Working for big companies doesn’t guarantee you're using the latest technologies—they often roll their own solutions, which might not align with your skills. Focus on the fundamentals of data structures and algorithms (DSA), especially if you want to pass initial screens. A solid grasp on those can be more critical than your practical knowledge of Kubernetes.
Exactly! You might be surprised how many aspects of your real-world application don't translate into their internal tools. Stick to getting DSA right for interviews!
I can second that! My friends at a big tech company confirmed that DSA is a significant filter in interviews. It’s great to have practical skills, but DSA knowledge can often determine if you make it past the first round.