DevOps vs ChatGPT illustration

In our rapidly evolving digital age, hiring isn’t just about assessing skills but also ensuring candidates’ integrity. With tools like chatGPT making an appearance in the AI world, the line between genuine talent and chatGPT-assisted responses is blurring. Hence, it is critical to ensure that true talents are not overlooked. This post provides recruiters with strategies to make this distinction clear.

The Traits Recruiters Seek in DevOps Candidates

Modern software development owes much of its speed and reliability to DevOps engineers. They bridge the gap between software development and IT operations, enabling businesses to deliver software faster and more reliably. Every day they interact with a wide variety of systems to set up, maintain and optimize solutions that oversee application performance. Hence, it is crucial to have a wide knowledge of the necessary tools. However, in order to be a great DevOps engineer, it is needed a deep understanding of processes, collaboration, and problem-solving. Recruiters, therefore, design technical assessments to measure these competencies, ensuring they are hiring the right fit for the role. But in today’s world, guaranteeing the authenticity of these assessments has become challenging.

ChatGPT’s Performance in a Technical Assessment

Since its launch, chatGPT has demonstrated its efficiency in assisting DevOps and Infrastructure engineers with small tasks, such as code generation, review, and debugging. Engineers often rely on chatGPT for quick information on unfamiliar topics. Nevertheless, it still fails to perform in more complex scenarios. Its strength lies in following specific directives, but it often falls short when creativity or in-depth problem-solving is needed. If it’s placed in a context of a problem, it can assist engineers with tips and give useful insights for brainstorming, yet fails to give a concrete solution.

Anticipating Genuine DevOps Talents from ChatGPT Assistance

Ensuring that candidates complete assessments authentically and independently is a challenge in the era of chatGPT. Despite that, recruiters can employ several strategies to ensure integrity:

  • Craft Open-Ended Questions: Instead of asking candidates for basic tasks, like writing a Dockerfile, challenge them to troubleshoot interconnected issues with a CI/CD pipeline and identify the root cause of poor code performance. Platforms like HDO offer technical assessments that evaluate both candidates’ creativity and technical knowledge.

  • Pose Unique Problems: By presenting candidates with realistic scenarios tied to their daily job responsibilities, you make it tougher to generate accurate AI responses.

  • Leverage ChatGPT: Allowing candidates to use chatGPT can reveal their level of expertise and creative thinking abilities. It may sound controversial, but it is proven to be effective. If used correctly, chatGPT can reflect a candidate’s expertise and innovative thinking. Effective querying and resource utilization are essential skills for a DevOps Engineer.

  • Employ Monitoring Tool: Tools like HDO, with features such as session recording that captures a candidate’s actions during the assessment, can give insights into a candidate’s thought process and ensure transparency.


ChatGPT is slowly but surely becoming a cohesive part of DevOps Engineers’ daily routines, and its implications on hiring processes cannot be ignored. While chatGPT is a powerful tool, it hasn’t surpassed human creativity and expertise. By creating real-world assessments, recruiters can effectively distinguish genuine talent from AI-generated responses and secure bringing the best minds onboard.