Database Administrator - SQL / Oracle PL/SQL

Key Responsibilities: Support and maintain the FIS ClearVision platform for cleared derivatives trade clearing. Develop, debug, and maintain Oracle PL/SQL procedures, batch jobs, loops, and database fixes. Manage Couchbase NoSQL data lifecycle activities, including data pruning, archiving, and updates. Support exchange-traded derivatives clearing operations and trade processing workflows. Monitor and troubleshoot multi-exchange gateway integrations involving CME, ICE, Eurex, SGX, COMEX, and CBOT.Understand and support market data flows, including CCP and non-CCP processing. Perform log analysis, production incident investigation, root cause analysis, and resolution. Create and maintain operational runbooks, postmortems, technical documentation, and support procedures. Develop shell scripts to automate operational and database administration tasks. Support Azure cloud infrastructure and SRE-related activities. Administer Kubernetes resources, including pods, CronJobs, persistent volume claims (PVCs), Secrets, ConfigMaps, and resource limits. Configure KEDA autoscaling using time-based and cron triggers, including timezone-sensitive scheduling. Develop, maintain, and deploy Helm charts using templates, values.yaml, and environment-specific configurations. Collaborate with database, infrastructure, application development, and production support teams to ensure system stability and availability. Required Skills and Qualifications8–10 years of experience in database administration, database engineering, or infrastructure support. Strong knowledge of FIS ClearVision and cleared derivatives trade clearing. Hands-on experience with Oracle PL/SQL development, debugging, and batch processing. Experience managing Couchbase NoSQL databases and data lifecycle operations. Knowledge of exchange-traded derivatives (ETD) clearing and financial trading systems. Understanding of multi-exchange gateway operations and trade data processing. Experience with Azure Cloud and Site Reliability Engineering (SRE) practices. Strong troubleshooting, log analysis, incident management, and root cause analysis skills. Proficiency in shell scripting and operational automation. Hands-on experience with Kubernetes administration, KEDA autoscaling, and Helm deployments. Strong documentation, communication, and cross-functional collaboration skills.