Job Overview
ENGINEER
AI FINANCIAL INFRASTRUCTURE, DATA PLATFORMS & INTELLIGENT AUTOMATION
Location: Bahrain — Remote / GCC Regional
Seniority Level: Principal / Advanced Engineering
Employment Type: Full-time, Permanent
Industry Focus: Fintech, AI, Data Engineering, Cloud, Digital Banking, Financial Infrastructure
BUILD THE INTELLIGENCE ENGINE
An exceptional opportunity is available for an advanced Engineer to develop the infrastructure supporting AI-driven financial applications.
The role sits where software engineering, financial data and artificial intelligence converge.
You will help construct the technical foundations required to ingest, process and operationalize financial information at scale—turning raw data into infrastructure capable of supporting intelligent decisions and automated financial processes.
ENGINEERING RESPONSIBILITIES
-
Design scalable data and AI infrastructure for fintech platforms.
-
Develop high-performance data-processing pipelines.
-
Build APIs supporting financial intelligence applications.
-
Engineer cloud-native services for AI-enabled financial products.
-
Develop event-driven systems for real-time financial data.
-
Build reliable data-ingestion and transformation pipelines.
-
Support machine-learning model deployment environments.
-
Implement monitoring for data and model performance.
-
Optimize systems for latency, throughput and reliability.
-
Collaborate with data scientists on productionizing analytical models.
-
Establish automated testing and deployment processes.
-
Develop observability across financial-data infrastructure.
-
Investigate complex infrastructure and data-quality issues.
-
Contribute to architecture and engineering standards.
TECHNICAL LANDSCAPE
Python • Java • SQL • Cloud • Data Lakes • Data Warehouses • Streaming • APIs • Microservices • Machine Learning Infrastructure • Containers • CI/CD • Distributed Systems
IDEAL PROFILE
-
6+ years of software, data or financial-systems engineering experience.
-
Strong Python or equivalent engineering capability.
-
Strong SQL and data-engineering knowledge.
-
Experience with cloud platforms.
-
Understanding of distributed systems.
-
Experience working with production data pipelines.
-
Familiarity with machine-learning deployment concepts.
-
Strong understanding of software quality and system reliability.
-
Ability to collaborate with data science, product and technology teams.
THE ENGINEERING VISION
Artificial intelligence may produce the insight.
But infrastructure determines whether that insight can actually operate reliably, repeatedly and at scale.
Your work will form the technical bridge between sophisticated financial data and real-world intelligent applications—creating infrastructure designed not merely to process information, but to make financial intelligence operational.
Compensation: Premium technical package aligned with engineering depth, AI infrastructure expertise and platform responsibility.
Don’t miss the chance to make a difference in the fintech and FX industry!
Apply now by clicking on the “Apply Now” button below.
Let’s shape the future of finance together!
#EmploySolutionJobs #FXCareers.
