Application Production Support Engineer - Generative AI Tools, Citi

Citi

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Application Production Support Engineer - Generative AI Tools- C12 - PUNE

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

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

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)

Employment Type:

Fulltime

Work Type:

On-site work

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