Linux • phoenix az
Role Descriptions:<br /> • Responsible for the administration, maintenance, performance tuning, and support of NICE Actimize applications and underlying databases.The role ensures high a... Show more
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The average salary range is between $ 98,800 and $ 135,200 year , with the average salary hovering around $ 110,000 year .
The average salary range is between $ 92,272 and $ 150,049 year , with the average salary hovering around $ 112,538 year .
Role Descriptions:
• Responsible for the administration, maintenance, performance tuning, and support of NICE Actimize applications and underlying databases. The role ensures high availability, optimal performance, security, and stability of Actimize AML, Fraud, and Financial Crime platforms.
• Key Responsibilities:
• Administer and support NICE Actimize environments across Development, QA, UAT, and Production.
• Manage database objects, schema changes, deployments, and application releases.
• Monitor and optimize database performance, query execution, indexing, and system health.
• Troubleshoot application and database-related issues, conducting root cause analysis and resolution.
• Perform database backup, recovery, patching, upgrades, and capacity planning activities.
• Support Actimize application installations, configuration, and environment setup.
• Collaborate with infrastructure, middleware, application support, and development teams.
• Ensure compliance with security, audit, and data governance requirements.
• Develop and maintain operational documentation, runbooks, and support procedures.
• Required Skills:
• Strong experience with Oracle Database and/or Microsoft SQL Server.
• Hands-on experience supporting NICE Actimize applications (AML, SAM, CDD, CTR, Fraud Management, IFM, etc.).
• Knowledge of database administration, performance tuning, SQL, PL/SQL, and scripting.
• Experience with application deployments, upgrades, and production support.
• Familiarity with Linux/Unix environments and middleware technologies.
• Understanding of banking, AML, fraud detection, and financial crime compliance processes.
