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Senior Production Support Engineer

Production EngineerProduction EngineerFull TimeRemoteSeniorTeam 501-1,000H1B SponsorCompany SiteLinkedIn

Location

Worldwide

Posted

7 days ago

Salary

0

Seniority

Senior

No structured requirement data.

Job Description

Senior Production Support Engineer

CAI

Role Description We are looking for a Senior Production Support Engineer – NICE Actimize/ETL to manage and optimize production operations for financial crime detection platforms. This position will be full-time and remote. What You’ll Do - Actimize Application & Platform Support (L2/L3) - Incident & Problem Management: Provide end-to-end support for core Actimize platforms including SAM (Suspicious Activity Monitoring), UDM (Universal Data Model), CDD (Customer Due Diligence), and ActOne. - System Troubleshooting: Actively investigate, diagnose, and resolve platform issues related to Actimize risk-case generation, alert processing engines, and the Risk Case Manager (RCM) worker processes. - Root Cause Analysis (RCA): Spearhead technical investigations on high-impact incident tickets using tools like ServiceNow or Jira, publishing precise technical post-mortems and long-term resolution paths. - Environment Maintenance: Lead hotfix and emergency patch installations, supporting platform upgrades and regular deployments across development, staging, and production clusters. - Database Data Auditing & SQL Optimization - Production Debugging: Write complex, highly optimized SQL queries, stored procedures, joins, and indexing tasks to parse and resolve data discrepancies across high-volume relational systems like Oracle, MS SQL Server, or PostgreSQL. - Database Performance Tuning: Track background performance locks, database fragmentation, and blocking processes to ensure query executions do not breach defined production latency thresholds. - Data Rectification: Formulate safe data-patching scripts to fix upstream corruption issues affecting Actimize reporting metrics without violating data schema rules. - ETL & Batch Pipeline Monitoring - Batch Operations Management: Monitor and support overnight ETL batch loads, automated data feeds, and incoming file ingestion pipelines. - Pipeline Debugging: Quickly isolate and correct pipeline breaks stemming from malformed source data arrays or schema mismatches in data integration routines. - Automation Engineering: Build or improve operating system wrappers using Linux Shell Scripting (Bash) or Python to automate repetitive pipeline verification checklists and reduce manual validation workloads. - Scheduling Governance: Schedule, monitor, and optimize orchestration tasks using commercial enterprise work schedulers such as Control-M, Autosys, or UC4. Qualifications - 5+ years of experience in database data auditing and SQL optimization. - Expertise in writing optimized SQL queries, stored procedures, joins, and indexing tasks. - Proven ability to debug pipeline breaks and manage ETL batch operations. - Experience with enterprise work schedulers such as Control-M, Autosys, or UC4. - Proficiency in Linux Shell Scripting (Bash) or Python. Requirements - Familiarity with NICE Actimize modules including SAM, UDM, CDD, and ActOne. - Hands-on experience with incident management tools like ServiceNow or Jira. Physical Demands - Ability to safely and successfully perform the essential job functions. - Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. - Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor. Reasonable Accommodation Statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

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