Citi
Engineer Senior Analyst - Assistant Vice President
- Compensation
- Not disclosed
- Location
- Chennai Tamil Nadu India
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Full time
- Experience
- 5+ years
- Category
- Not specified
- Posted
Skills
Must have
- 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.
Full description
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 ResponsibilitiesPlatform Operations & Support
- Provide L2/L3 operational support for GenAI, Big Data, and analytics platforms.
- Manage day-to-day platform operations ensuring high availability, reliability, and performance.
- Support application onboarding activities 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 activities as required.
Reliability Engineering
- 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.
Automation & Operational Excellence
- Develop and maintain automation scripts using Shell, Python, Ansible, or similar technologies.
- Identify repetitive operational activities and implement automation solutions 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.
Platform Administration
- Support administration and maintenance of Big Data platforms including:
- Databricks
- Install, upgrade, patch, and configure platform components in Linux environments.