Software complexity continues to accelerate, as new tools, frameworks, and technologies become available. This, in turn, increases its fragility and liability. Despite the amount of investment to test and harden their systems, companies still pay the price of failure. To withstand this fast-paced development environment and ensure software availability, largescale systems must be built with resilience in mind. Chaos Engineering is a new practice that aims to assess some of these challenges. In this thesis, the methodology, requirements, and iterations of the system design and architecture for a chaos engineering tool are presented. In a matter of only a couple of months and the working hours of two engineers, it was possible to build a tool that is able to shed light on the attributes that make the targeted system resilient as well as the weaknesses in its failure handling mechanisms. This tool greatly reduces the otherwise manual testing labor and allows software engineering teams to find potentially costly failures. These results prove the benefits that many companies could experience in their return of investment by adopting the practice of Chaos Engineering.