Provide front-line technical support: Diagnose and resolve production issues related to our generative AI applications, including performance bottlenecks, API errors, data inconsistencies, and infrastructure problems. Monitor application health: Utilize monitoring tools and dashboards to track key metrics, identify anomalies, and proactively address potential issues before they impact users. Incident Management: Follow established incident management procedures to document, escalate, and resolve production incidents, ensuring timely communication with stakeholders. Collaborate with engineering teams: Work closely with development and infrastructure teams to identify the root cause of issues, implement fixes, and prevent future occurrences. Develop and maintain documentation: Create and update technical documentation, including runbooks, knowledge base articles, and troubleshooting guides. Automate support tasks: Identify opportunities to automate repetitive tasks and improve support efficiency through scripting and tooling. Participate in on-call rotation: Provide on-call support on a rotational basis to ensure 24/7 coverage for critical applications. Continuous Improvement: Contribute to the continuous improvement of our support processes and tools by identifying areas for optimization and implementing best practices. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 8-13 years of experience in application production support or a related role. Strong understanding of software development lifecycle and DevOps principles. Experience supporting cloud-based applications, preferably on AWS, Azure, or GCP. Proficiency in at least one scripting language (e.g., Python, Bash). Familiarity with monitoring tools (e.g., Datadog, Prometheus, Grafana). Excellent problem-solving and analytical skills. Strong communication and collaboration skills. A passion for AI and machine learning. Bonus Points: Experience with generative AI models and algorithms (e.g., GANs, VAEs, Transformers). Knowledge of MLOps principles and practices. Experience with containerization technologies (e.g., Docker, Kubernetes). ------------------------------------------------------ **Job Family Group:** Technology ------------------------------------------------------ **Job Family:** Applications Support ------------------------------------------------------ **Time Type:** Full time ------------------------------------------------------ _Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._ _If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi (https://www.citigroup.com/citi/accessibility/application-accessibility.htm)_ _._ _View Citi’s_ _EEO Policy Statement (https://www.citigroup.com/global/eeo-aa-policy)_ _and the_ _Know Your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf)_ _poster._ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.