Organizations are facing an unprecedented surge in security threats as they shift to cloud environments. Traditional methods of threat detection are no longer sufficient, pushing security teams to adopt more proactive strategies. The concept of treating threat detection as a software development process, known as detection-as-code, is gaining traction. This approach transforms security from a reactive task into a systematic, engineering-focused discipline. Detection engineers play a key role in this landscape. They write the code and logic that identifies attackers, sifting through vast amounts of log data to create detection rules. Beyond coding, they need to think like hackers, constantly researching new attack techniques. Familiarity with established frameworks like MITRE ATT&CK and the Cyber Kill Chain is essential; these frameworks help in understanding attacker behaviors and in developing effective detection strategies. The field of detection engineering is broad, with several areas of specialization. Professionals might focus on cloud workload security, cloud application security, or endpoint security, among others. Each specialty addresses specific vulnerabilities, from securing cloud infrastructures to monitoring network traffic for anomalies. Regardless of the focus, the primary goal remains the same: to identify threats early and enhance the organization’s defense capabilities.