Illumio Software Engineer interview experience

That conversation dug into how rate limiting works under real traffic—things like token bucket vs leaky bucket approaches, sliding window counters, handling bursts, and thinking about fairness and scalability. It also covered distributed rate limiting ideas and practical API throttling use cases.

From there, I had an onsite discussion with the hiring manager that shifted toward how I’d handled problems before, especially around streaming and messaging. We talked through event-driven architectures and concepts from systems like Kafka/Kinesis/Pulsar, including consumer groups, partitioning,