Application Production Support Engineer - Generative AI Tools- Assistant Vice President

Citi; Maharashtra; On-site; INR 400,000 - 550,000; Full time

Job summary

Citi is seeking an experienced Senior Production Support Engineer in Maharashtra to diagnose and resolve issues in our generative AI apps. You will monitor health, manage incidents, and collaborate with engineering to implement fixes and prevent recurrence.

You will develop runbooks and automation, maintain documentation, and participate in 24/7 on-call coverage, driving continuous improvement in support processes.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 8-13 years of experience in production support or related roles.
• Strong understanding of software development lifecycle and DevOps principles.
• Change Management , Incdient management , Problem Managemet, Stakeholder management

Responsibilities

• 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, elevate, 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.

Skills

DevOps principles

Incident management

Stakeholder management

Team collaboration

AI/ML interest

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

AWS

Azure

GCP

Python

Bash

Datadog

Prometheus

Grafana

Docker

Kubernetes

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, elevate, 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.
• Change Management , Incdient management , Problem Managemet, Stakeholder management
• 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

Most Relevant Skills:

Please see the requirements listed above.

Other Relevant Skills:

For complementary skills, please see above and/or contact the recruiter.

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