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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