About this role
C12 – GenAI Operations Support Analyst / Site Reliability Engineer (SRE)
Job Summary
We are seeking an experienced GenAI Operations Support Analyst / Site Reliability Engineer (SRE) to support and maintain Citi's Generative AI and Big Data platforms across cloud and on-premises environments.
The successful candidate will be responsible for platform reliability, operational excellence, application onboarding, production support, automation, capacity planning, incident management, and customer engagement. This role requires strong expertise in GenAI platforms, Kubernetes/OpenShift, Databricks, Big Data technologies, and Linux administration.
The candidate will partner closely with Engineering, Infrastructure, Application Development, Security, and Business teams to ensure platform stability, scalability, compliance, and operational readiness across all SDLC environments.
Key Responsibilities
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Platform Operations & Support
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Provide L2/L3 operational support for GenAI, Big Data, and analytics platforms.
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Manage day-to-day platform operations ensuring high availability, reliability, and performance.
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Support application onboarding activities including infrastructure sizing, capacity reviews, access management, and environment readiness.
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Assist application teams in troubleshooting platform-related issues and production incidents.
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Coordinate service restoration activities and drive timely incident resolution.
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Participate in on-call support and major incident management activities as required.
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Reliability Engineering
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Monitor platform health, availability, capacity, and performance across cloud and on-prem environments.
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Perform proactive analysis to identify potential risks, service degradation, and capacity constraints.
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Drive continuous improvements in observability, monitoring, alerting, and operational processes.
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Develop operational runbooks, support procedures, and recovery documentation.
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Support disaster recovery testing, resiliency exercises, and operational readiness activities.
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Automation & Operational Excellence
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Develop and maintain automation scripts using Shell, Python, Ansible, or similar technologies.
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Identify repetitive operational activities and implement automation solutions to improve efficiency and reduce manual effort.
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Partner with Engineering teams to enhance platform automation and self-service capabilities.
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Support Infrastructure-as-Code (IaC) initiatives where applicable.
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Platform Administration
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Support administration and maintenance of Big Data platforms including:
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Databricks
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Install, upgrade, patch, and configure platform components in Linux environments.
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Execute infrastructure maintenance activities including:
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Operating System Patching
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Firmware Upgrades
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End-of-Life / End-of-Vendor Support (EOVS) remediation
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Security and compliance upgrades
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Ensure platform compliance with enterprise standards and operational policies.
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GenAI Platform Support
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Support enterprise GenAI services and model consumption platforms.
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Assist application teams with onboarding, model access requests, troubleshooting, and platform usage guidance.
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Monitor GenAI platform utilization and capacity trends.
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Support model governance processes, onboarding controls, and compliance initiatives.
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Stay informed on emerging GenAI technologies, capabilities, and industry trends.
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Stakeholder Engagement
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Act as a trusted technical partner for application teams and business users.
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Provide guidance on platform best practices, operational processes, and support models.
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Publish knowledge articles, operational standards, platform documentation, and recommended practices.
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Collaborate with Engineering teams to drive platform improvements and operational efficiencies.
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Mentor junior team members and contribute to knowledge sharing across the organization.
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Required Qualifications
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Bachelor's Degree in Computer Science, Information Technology, Engineering, or equivalent experience.
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5+ years of experience supporting enterprise platforms in production environments.
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Strong experience with Linux/Unix system administration.
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Experience supporting Kubernetes and OpenShift environments.
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Experience with cloud platforms such as AWS, GCP, or Azure.
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Experience troubleshooting distributed systems and large-scale enterprise platforms.
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Strong understanding of monitoring, alerting, observability, and incident management processes.
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Experience with scripting and automation using Shell, Python, or Ansible.
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Strong communication and stakeholder management skills.
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Ability to manage multiple priorities in a fast-paced production environment.
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Preferred Qualifications
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Experience supporting Generative AI platforms and AI/ML workloads.
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Experience with Databricks administration and operations.
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Knowledge of Vertex AI, Anthropic, Gemini, Claude, OpenAI, or similar AI platforms.
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Experience with Infrastructure-as-Code tools such as Terraform or CloudFormation.
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Familiarity with SRE principles including SLIs, SLOs, error budgets, and reliability engineering practices.
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Experience with CI/CD pipelines and DevOps methodologies.
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Knowledge of security, compliance, and governance frameworks in cloud environments.
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Experience with enterprise monitoring platforms such as Splunk, Dynatrace, Grafana, Prometheus, or similar tools.
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Core Competencies
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Site Reliability Engineering (SRE)
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GenAI Platform Operations
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Kubernetes / OpenShift Administration
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Linux Administration
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Big Data Platform Support
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Incident & Problem Management
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Capacity Planning
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Automation & Scripting
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Cloud Operations
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Platform Monitoring & Observability
Job Family Group:
Technology------------------------------------------------------
Job Family:
Systems & Engineering------------------------------------------------------
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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