Senior Fraud Detection Platform Architect

21 hours ago


Hyderabad, Telangana, India raptorX Full time
About RaptorX

RaptorX is a fintech startup that revolutionizes fraud detection and prevention in real-time for banks, financial institutions, and digital platforms.

Role Overview

We seek an experienced Senior Software Engineer with 7-8 years of experience across front-end, back-end, and AI/ML architectures to lead the architecture and technical vision of our high-performance fraud detection platform.

Key Responsibilities
  1. Architecture Design and Implementation: Define and oversee the full-stack architecture, covering front-end, back-end, and AI/ML integration, optimized for low latency and high transaction volumes.
  2. Technical Leadership: Lead and mentor a team of engineers, manage backlogs, and prioritize tasks, driving excellence in both technical delivery and team collaboration.
  3. Advanced Model Integration: Implement and optimize machine learning models for real-time fraud detection and anomaly scoring.
  4. Data Processing and Pipelines: Architect data pipelines using tools like Apache Airflow, PySpark, and Kafka to handle real-time and batch data processing across multiple sources.
  5. Enterprise-Grade Security and Compliance: Design systems that meet stringent security requirements and financial compliance standards, including data encryption, access control, and logging.
  6. Scalability and Optimization: Ensure the platform can scale effectively to handle millions of transactions, optimizing data flows and service orchestration for high availability.
  7. Cross-Functional Collaboration: Work closely with AI, data engineering, and product teams to translate business needs into scalable technical solutions.
Requirements
  • Experience: 7-8 years in software engineering, with at least 2-3 years in a technical lead or architect role. Experience in the fraud detection or finance industry is a plus.
  • Technical Expertise:
    • Full-Stack Knowledge: Proficiency in front-end frameworks (React, Angular) and back-end languages like Python, Java, or Node.js.
    • Machine Learning Models: Familiarity with deploying and optimizing models such as GNNs, and other advanced models.
    • Data Processing and Orchestration: Experience with data engineering tools, including Apache Airflow for orchestration, PySpark for big data processing, and Apache Kafka for streaming.
    • Cloud and DevOps: Strong knowledge of cloud infrastructure (AWS, Azure), containerization (Docker, Kubernetes), and CI/CD pipelines (Jenkins, GitLab CI/CD).
    • Database Expertise: Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB) and experience in data modeling for high-frequency applications.
What We Offer
  • Innovative Tech Stack: Work on a platform that integrates advanced ML models, real-time data processing, and fraud prevention technology.
  • Growth Opportunity: Join a fast-paced startup environment with influential backers and ample opportunities for professional growth.
  • Impactful Work: Play a key role in shaping a platform that actively fights fraud and secures financial transactions.
  • Competitive Compensation: ₹20,00,000 - ₹40,00,000 per annum


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