The role involves providing front-line technical support by diagnosing and resolving production issues within generative AI applications. Responsibilities include monitoring application health through dashboards to identify anomalies and addressing performance bottlenecks or infrastructure problems. The individual will manage incidents by documenting and escalating issues while maintaining clear communication with stakeholders. Collaboration with engineering teams is required to determine root causes and implement long-term fixes. Additionally, the position entails creating technical documentation and automating repetitive support tasks to improve overall efficiency.

Candidates must hold a Bachelor's degree in Computer Science, Engineering, or a related field. The role requires 8 to 13 years of experience in application production support or a similar capacity. Applicants need a strong understanding of DevOps principles and the software development lifecycle. Proficiency in scripting languages such as Python or Bash is mandatory, alongside experience supporting cloud-based applications.