Database Devops Engineer
Database DevOps engineer on Citi's Application Infrastructure DevOps team in Belfast, managing and migrating Oracle, MongoDB, and big data platforms (Snowflake, AWS, GCP) across hybrid on-prem and cloud infrastructure. Day-to-day spans HA/DR, IaC automation with Terraform/Ansible/Python, and building AI-driven monitoring and self-healing.
- Compensation
- Not disclosed
- Location
- Northern Ireland, United Kingdom
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 5+ years
- Category
- Devops
- Posted
Skills
Must have
- 5-8 years of relevant experience
- Strong experience with Oracle, MongoDB, and Big Data technologies
- Proven track record in cloud database migrations (AWS, GDP)
- Experience developing or maintaining AI/Agentic AI solutions for database automation
- Expertise in database performance tuning, high availability, and disaster recovery
- Proficiency in scripting with Python
- Solid understanding of hybrid infrastructure: bare-metal servers, Linux VMs, cloud VMs, and Red Hat OpenShift / Kubernetes
- Advanced proficiency in Python, Shell scripting, Ansible, and Terraform
- Performance engineering: troubleshoot slow queries, analyze execution plans, eliminate memory/IO bottlenecks, tune distributed workloads
Full description
Are you looking for a career move that will put you at the heart of a global financial institution? Then bring your skills in analysis, problem solving and communication to Citi’s Loan’s processing Team.
By Joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress.
Team/Role Overview
You will be joining the Application Infrastructure DevOps team supporting the Citi Finance Application – Finance Full Suite. Our team is directly responsible for the health, availability, scalability, and ongoing modernization of the core application platform that underpins Citi's global financial operations and reporting workflows.
Currently, the platform operates across a hybrid infrastructure comprising on-premises environments (Red Hat OpenShift container platform, virtual machines, and bare-metal physical servers) as well as cloud-hosted environments. Our diverse data ecosystem includes Oracle, OraaS, MongoDB, IBM Object Store, and Snowflake (hosted on Private Cloud – AWS).
What you’ll do
- Manage Hybrid Database Infrastructure: Oversee the day-to-day reliability, performance, capacity, and upkeep of database systems hosted across on-prem physical/VM servers, OpenShift clusters, and Cloud VMs (Oracle, OraaS, MongoDB, IBM Object Store, and Snowflake).
- Lead Cloud Migration Initiatives: Plan, architect, and execute migrations of legacy databases and Big Data platforms from on-premise infrastructure to AWS, GDP (GCP Data Platform), and Snowflake (Private Cloud - AWS) with zero or near-zero downtime.
- Implement AI & Agentic AI Solutions: Develop intelligent agents and automated solutions for real-time telemetry monitoring, automated index/query tuning, proactive anomaly detection, and automated self-healing workflows.
- Containerize & Modernize Workloads: Work with Red Hat OpenShift and containerized database/data services to streamline microservice-to-database connectivity and lifecycle management.
- Ensure Resiliency & Disaster Recovery: Maintain and validate robust High Availability (HA) and Disaster Recovery (DR) frameworks, automated failovers, and backup/restore procedures to meet stringent enterprise finance RTO/RPO targets.
- Automate via IaC and CI/CD: Build reusable Infrastructure as Code (Terraform, Ansible) and Python automation scripts for routine DBA tasks, patch management, security scanning, access management, and automated release verification.
- Security & Compliance Governance: Enforce strict data governance, data encryption (at rest and in transit), audit trail validation, and vulnerability remediation across all database environments.