Senior FINIQ/.NET Engineer — AI-Driven Automation

GSS Group; Dubai; On-site; AED 320,000 - 520,000; Full time

Job summary

GSS Group is seeking a Senior Product Engineer to lead management of the FINIQ environment, backend services, and database optimizations. The role emphasizes hands-on administration, API and microservice integration, and automation through test frameworks and CI/CD pipelines.

The candidate will leverage Node.js, AI tech, and LLMs to streamline workflows and enhance platform reliability across Wealth & Asset Management platforms. Strong SQL and .NET expertise are essential.

Qualifications

• 5+ years hands-on technical administration experience with FINIQ.
• Strong hands-on experience with FINIQ Core Application.
• Expert-level knowledge of Microsoft SQL Server.
• Strong skills in database design and T-SQL.
• Extensive experience with complex SQL queries, stored procedures, triggers, and performance tuning.
• Strong proficiency in .NET / C# and backend architecture.

Responsibilities

• Manage, optimize, and support FINIQ core application environment.
• Provide hands-on technical administration for FINIQ-based platforms.
• Troubleshoot complex performance bottlenecks and production issues.
• Ensure stability, availability, and optimal performance across app and DB layers.
• Develop and maintain automated test scripts and CI/CD integration.
• Collaborate with cross-functional teams to improve automation and efficiency.

Skills

FINIQ

FINIQ Core Application

Microsoft SQL Server

T-SQL

NET / C#

Backend architecture

Test automation frameworks

Playwright

CI/CD pipelines

DevOps practices

Node.js

AI technologies

LLM frameworks

Tools

Playwright

Job description

GSS Group is seeking a Senior Product Engineer to lead management of the FINIQ environment, backend services, and database optimizations. The role emphasizes hands-on administration, API and microservice integration, and automation through test frameworks and CI/CD pipelines.

The candidate will leverage Node.js, AI tech, and LLMs to streamline workflows and enhance platform reliability across Wealth & Asset Management platforms. Strong SQL and .NET expertise are essential.