Description
Job overview
A technically demanding role combining advanced software engineering, real-time transaction processing, financial data infrastructure, and fraud-intelligence capabilities.
The Opportunity
You will develop the platform services responsible for collecting and processing transaction signals, applying risk rules, supporting fraud-detection models, and delivering real-time intelligence to fintech applications.
Key Responsibilities
- Architect scalable backend services for real-time transaction monitoring.
- Develop high-throughput event-processing pipelines for payments, transfers, account activity, and financial events.
- Build APIs connecting transaction systems with fraud, risk, identity, and financial-intelligence services.
- Implement configurable rules engines for transaction screening and risk workflows.
- Integrate machine-learning models and risk-scoring services into production systems.
- Develop data-enrichment and normalization pipelines for financial transactions.
- Engineer low-latency processing mechanisms for time-sensitive risk decisions.
- Build systems for alerts, case creation, investigation workflows, and risk-event management.
- Implement strong auditability across transaction decisions and risk events.
- Optimize Kafka consumers, databases, caching layers, and distributed workloads.
- Establish automated testing, observability, performance monitoring, and deployment pipelines.
- Provide technical leadership across architecture and complex engineering initiatives.
Required Background
- 6+ years of professional software engineering experience.
- Advanced proficiency in Python, Java, Go, Scala, or TypeScript/Node.js.
- Strong knowledge of distributed systems, event streaming, microservices, and API architecture.
- Excellent SQL and database-engineering skills.
- Experience with Kafka, PostgreSQL, Redis, Docker, Kubernetes, and cloud infrastructure.
- Understanding of fraud detection, transaction monitoring, risk scoring, or financial crime technology.
- Experience integrating analytical or machine-learning services into production applications.
- Strong knowledge of secure development and sensitive financial-data handling.
What You’ll Bring
Strong systems thinking, advanced programming ability, and the capacity to engineer reliable real-time financial platforms where speed, accuracy, security, and scalability are critical.
Are you interested in this position?
Apply by clicking on the “Apply Now” Button below!
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