Senior Software Engineer- Browser Data Collection and Profiling

Job Title:

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About Us

We are a versatile payments processing company catering to all industries. Our platform is built to handle transactions seamlessly, securely, and at scale—no matter the sector. Whether you're in retail, logistics, fintech, healthcare, or any other vertical, our solutions are tailored to deliver reliable and efficient payment infrastructure.

Trust us for seamless payment processing.

With a strong focus on innovation, compliance, and customer-centricity, we empower businesses to accept and manage payments effortlessly across digital and physical channels. Join us in shaping the future of commerce, one transaction at a time.

Summary

browser-based solution

Job Responsibilities

• Architect and develop a

  browser-based data collection system

  to gather user behavior insights, device/browser fingerprinting, and transaction risk signals.
• Implement

  JavaScript-based tracking

  techniques (e.g., mouse movements, keystroke patterns, clickstream analysis, scroll behavior) for behavioral profiling.
• Develop

  device fingerprinting

  solutions using browser attributes, installed plugins, screen resolution, fonts, WebGL, and canvas fingerprinting.
• Design and integrate

  real-time fraud detection mechanisms

  based on collected data.
• Work with backend teams to store, process, and analyze collected data securely and efficiently.
• Optimize data collection performance to

  minimize impact on user experience

  while maintaining accuracy.
• Collaborate with data scientists and security teams to improve risk scoring algorithms and fraud detection models.
• Research and stay updated on the latest

  browser security vulnerabilities, tracking techniques, and fraud prevention methods

  .

Requirements

• 5+ years of experience

  in software development with expertise in

  JavaScript, TypeScript, and front-end technologies

  .
• Deep understanding of

  browser internals, web tracking, and fingerprinting techniques

  .
• Experience with

  data collection frameworks

  (e.g., FingerprintJS, ClientJS, BrowserLeaks).
• Strong knowledge of

  web security principles

  , anti-fraud mechanisms, and real-time data processing.
• Experience with

  event-driven architecture

  and

  high-performance, low-latency data collection

  .
• Familiarity with techniques to implement

  consent-based tracking

  .
• Proficiency in backend technologies (

  Node.js, Python, or Golang

  ) for secure data handling is a plus.
• Experience integrating with

  machine learning models

  for fraud detection is a plus.

Nice to Have

• Experience in

  fintech, fraud detection, or cybersecurity

  .
• Knowledge of

  bot detection

  and

  anti-fraud measures

  (e.g., CAPTCHA alternatives, behavioral analytics).
• Experience building

  real-time web tracking solutions

  at scale.

  esponsibilities