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Bengaluru, Karnataka, India
Remote only
Req number:
R7922Employment type:
Full timeWorksite flexibility:
RemoteCAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.
Job Summary
We are looking for a motivated Senior Production Support Engineer – NICE Actimize/ETL ready to take us to the next level! If you have Level 2 and Level 3 (L2/L3) production support, application maintenance, and incident management of critical enterprise-scale financial crime detection platforms and are looking for your next career move, apply nowJob 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)
Provide end-to-end support for core Actimize platforms including SAM (Suspicious Activity Monitoring), UDM (Universal Data Model), CDD (Customer Due Diligence), and ActOne
Actively investigate, diagnose, and resolve platform issues related to Actimize risk-case generation, alert processing engines, and the Risk Case Manager (RCM) worker processes
Spearhead technical investigations on high-impact incident tickets using tools like ServiceNow or Jira, publishing precise technical post-mortems and long-term resolution paths
Lead hotfix and emergency patch installations, supporting platform upgrades and regular deployments across development, staging, and production clusters
Database Data Auditing & SQL Optimization
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
Track background performance locks, database fragmentation, and blocking processes to ensure query executions do not breach defined production latency thresholds
Formulate safe data-patching scripts to fix upstream corruption issues affecting Actimize reporting metrics without violating data schema rules
ETL & Batch Pipeline Monitoring
Monitor and support overnight ETL batch loads, automated data feeds, and incoming file ingestion pipelines
Quickly isolate and correct pipeline breaks stemming from malformed source data arrays or schema mismatches in data integration routines
Build or improve operating system wrappers using Linux Shell Scripting (Bash) or Python to automate repetitive pipeline verification checklists and reduce manual validation workloads
Schedule, monitor, and optimize orchestration tasks using commercial enterprise work schedulers such as Control-M, Autosys, or UC4
What You’ll Need
Required:
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
Preferred:
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.
