Application Production Support Engineer - Generative AI Tools- C12 - PUNE
Citi Bank
8 - 13 years
Pune
Posted: 10/05/2025
Job Description
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).
About Company
Citi Bank, officially known as Citibank, is a global financial institution and the consumer division of Citigroup, a leading multinational banking corporation. Established in 1812, Citibank provides a wide range of financial services, including retail banking, credit cards, personal loans, wealth management, and investment banking. With a strong presence in over 100 countries, it serves millions of customers worldwide, offering both individual and business banking solutions. Citibank is known for its digital banking innovations, global reach, and commitment to financial inclusion and economic growth.
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