
Global investment banking and financial services
Application Production Support Engineer Generative AI
Description Engineer the future of global finance.
At Citi, our Tech team doesn’t just support finance – we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries, operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning, and flexibility with potential hybrid work opportunities. Help solve real‑world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech.
We are seeking a motivated team member to support our AI and DevOps Platform Support team in North America. This role is responsible for assisting in the stability, reliability, and performance of our critical AI and DevOps platforms. The team supports a wide range of services, including multiple AI applications, developer tools, and CI/CD pipeline technologies used across the organization. The ideal candidate will work closely with SRE and Support engineers to resolve incidents, address platform issues, and collaborate with engineering and development teams to enhance platform supportability. The role includes coordinating daily operational activities and contributing to short‑term planning.
Responsibilities:
- Understand how application support functions within the broader technology organization and contributes to business objectives.
- Assist with vendor coordination and day‑to‑day interactions with offshore managed services.
- Support efforts to improve service levels, including participating in incident management, problem management, and knowledge‑sharing initiatives.
- Partner with development and engineering teams to support application stability and operational readiness.
- Assist in collecting capacity, performance, and latency data to support platform planning efforts.
- Support application onboarding activities using established guidelines and standards.
- Contribute to fostering a collaborative and supportive team environment that encourages skill development.
- Participate in cost‑efficiency initiatives such as Root Cause Analysis reviews, knowledge management, and performance tuning.
- Assist in preparing materials for business review meetings and help align technology activities with business needs.
- Follow established support processes and tool standards and provide input on improvement opportunities.
- Perform other duties and functions as assigned.
- Contribute to platform enhancement initiatives in partnership with engineering and support leads.
- Assist in resilience‑related activities, including incident simulations, disaster recovery exercises, and platform readiness testing.
- Support automation efforts to reduce manual tasks and improve operational efficiency.
- Help maintain observability practices, including monitoring, logging, tracing, and alerting.
- Maintain practical understanding of platform components to support troubleshooting and incident response activities.
- Assist in tracking the operational health of production platforms (including Open Shift, ECS, CI/CD) and support SLA adherence.
- Participate in monitoring and observability efforts to support proactive issue identification and analysis.
Qualifications:
- 6-8 years of relevant experience in technical support, platform operations, or engineering.
- Exposure to architecture concepts with the ability to contribute to technical discussions and understand design decisions.
- Experience working with business partners, engineering teams, or technology stakeholders.
- Demonstrated experience supporting IT services, platform operations, or infrastructure components.
- Strong verbal and written communication skills, with the ability to document technical issues clearly.
- Experience supporting operational workstreams or participating in platform improvement initiatives.
- Participation in resilience‑related or stability‑focused activities preferred.
- Ability to collaborate effectively with cross‑functional teams.
- Strong organizational skills and ability to manage daily workload and task priorities.
- Working knowledge of Generative AI concepts preferred.
- Experience with CI/CD or configuration management tools preferred.
- Experience with Red Hat Open Shift or similar Kubernetes technologies preferred.
- Experience working with databases such as Postgres, Oracle, MongoDB, or Redis preferred.
- Experience with scripting or coding in Java, Python, Go, or similar languages preferred.
- Familiarity with modern observability and monitoring tools (e.g., Prometheus, Grafana, Splunk, ELK) preferred.
Education:
- Bachelor’s/University degree required.
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.
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.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
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About Citigroup

Citigroup
PublicCitigroup Inc. or Citi is an American multinational investment bank and financial services company based in New York City. The company was formed in 1998 by the merger of Citicorp, the bank holding company for Citibank, and Travelers; Travelers was spun off from the company in 2002.
10,001+
Employees
New York City
Headquarters
$86B
Valuation
Reviews
10 reviews
3.7
10 reviews
Work-life balance
3.8
Compensation
2.5
Culture
4.0
Career
3.2
Management
3.5
65%
Recommend to a friend
Pros
Good work-life balance
Supportive management and colleagues
Good benefits
Cons
Low or uncompetitive salary/pay
Long hours during peak times
Poor management and lack of direction
Salary Ranges
48 data points
Mid/L4
Senior/L5
Staff/L6
Mid/L4 · Business Analytics Senior Analyst
3 reports
$117,000
total per year
Base
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Stock
-
Bonus
-
$117,000
$117,000
Interview experience
3 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 33%
Negative 67%
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Panel/Group Interview
5
Final Round
6
Offer
Common questions
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
Culture Fit
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