Engineer Senior Analyst - Assistant Vice President

Overview

Support and maintain Citi's Generative AI and Big Data platforms across cloud and on-premises environments, covering reliability, operational excellence, application onboarding, production support, automation, capacity planning, incident management and customer engagement.

What you'll do

• Provide L2/L3 operational support for GenAI, Big Data and analytics platforms.
• Manage day-to-day platform operations to ensure high availability, reliability and performance.
• Support application onboarding, including infrastructure sizing, capacity reviews, access management and environment readiness.
• Assist application teams in troubleshooting platform-related issues and production incidents.
• Coordinate service restoration activities and drive timely incident resolution.
• Participate in on-call support and major incident management as required.
• Monitor platform health, availability, capacity and performance across cloud and on-prem environments.
• Perform proactive analysis to identify potential risks, service degradation and capacity constraints.
• Drive continuous improvements in observability, monitoring, alerting and operational processes.
• Develop operational runbooks, support procedures and recovery documentation.
• Support disaster recovery testing, resiliency exercises and operational readiness activities.
• Develop and maintain automation scripts using Shell, Python, Ansible or similar technologies.
• Identify repetitive operational activities and implement automation to improve efficiency and reduce manual effort.
• Partner with Engineering teams to enhance platform automation and self-service capabilities.
• Support Infrastructure-as-Code (IaC) initiatives where applicable.
• Support administration and maintenance of Big Data platforms, including Databricks.
• Install, upgrade, patch and configure platform components in Linux environments.
• Execute infrastructure maintenance: operating system patching, firmware upgrades, End-of-Life / End-of-Vendor Support (EOVS) remediation, and security and compliance upgrades.
• Ensure platform compliance with enterprise standards and operational policies.
• Support enterprise GenAI services and model consumption platforms.
• Assist application teams with onboarding, model access requests, troubleshooting and platform usage guidance.
• Monitor GenAI platform utilization and capacity trends.
• Support model governance processes, onboarding controls and compliance initiatives.
• Act as a trusted technical partner for application teams and business users.
• Provide guidance on platform best practices, operational processes and support models.
• Publish knowledge articles, operational standards, platform documentation and recommended practices.
• Collaborate with Engineering teams to drive platform improvements and operational efficiencies.
• Mentor junior team members and contribute to knowledge sharing across the organization.

What you'll need

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or equivalent experience.
• 5+ years of experience supporting enterprise platforms in production environments.
• Strong experience with Linux/Unix system administration.
• Experience supporting Kubernetes and OpenShift environments.
• Experience with cloud platforms such as AWS, GCP or Azure.
• Experience troubleshooting distributed systems and large-scale enterprise platforms.
• Strong understanding of monitoring, alerting, observability and incident management processes.
• Experience with scripting and automation using Shell, Python or Ansible.
• Strong communication and stakeholder management skills.
• Ability to manage multiple priorities in a fast-paced production environment.

Nice to have

• Experience supporting Generative AI platforms and AI/ML workloads.
• Experience with Databricks administration and operations.
• Knowledge of Vertex AI, Anthropic, Gemini, Claude, OpenAI or similar AI platforms.
• Experience with Infrastructure-as-Code tools such as Terraform or CloudFormation.
• Familiarity with SRE principles including SLIs, SLOs, error budgets and reliability engineering practices.
• Experience with CI/CD pipelines and DevOps methodologies.
• Knowledge of security, compliance and governance frameworks in cloud environments.
• Experience with enterprise monitoring platforms such as Splunk, Dynatrace, Grafana, Prometheus or similar tools.

Details

• Full-time role.
• Location: Chennai, Tamil Nadu, India.