Investment Data Applications Support Engineer

Cloud Analytics Technologies, LLC; Idaho; On-site; USD 82,000 - 117,000; Full time

Job summary

Cloud Analytics Technologies, LLC in Idaho seeks an Application Support Engineer with 3–5 years of experience to maintain and improve production applications in an investment management setting.

You will collaborate with business users, technology teams, and vendors to ensure data integrity, platform stability, and rapid incident resolution. Strong SQL and Python skills are essential.

Qualifications

• 3–5 years of experience supporting business-critical applications in an investment management environment.
• Strong expertise in SQL and Python with production support and incident management fundamentals.
• Solid understanding of investment processes and data integrity requirements.

Responsibilities

• Provide day-to-day production support for investment and data applications, ensuring high availability.
• Monitor and resolve accounting, performance, pricing, and data quality exceptions.
• Support portfolio accounting, performance measurement, attribution, and benchmarks.
• Monitor application health, troubleshoot issues, and perform root cause analysis for incidents.
• Develop SQL queries and Python scripts to aid troubleshooting, monitoring, and automation.
• Collaborate with Operations, Portfolio Management, Compliance, and Technology teams to resolve issues.
• Handle deployments, validations, and post-deployment monitoring.
• Identify recurring issues and drive automation to reduce operational risk.
• Create and maintain runbooks and knowledge articles; participate in on-call support.

Skills

SQL

Python

Production application support

Incident management

Investment process understanding

Job description

Cloud Analytics Technologies, LLC in Idaho seeks an Application Support Engineer with 3–5 years of experience to maintain and improve production applications in an investment management setting.

You will collaborate with business users, technology teams, and vendors to ensure data integrity, platform stability, and rapid incident resolution. Strong SQL and Python skills are essential.