Back
Strong Tier-1 brand but senior, specialized role reduces applicant density.
Role requires domain-specific fraud, streaming, and data-platform expertise, limiting cross-industry transferability.
Explicit 12+ years, 3+ management years, and specific streaming/data tech stack make filters highly strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead and manage engineering teams to build AI/ML-powered, real-time data platforms focused on fraud detection and risk scoring within global payment networks.
Drive adoption and integration of AI-augmented engineering workflows to improve coding, testing, debugging, documentation, and overall engineering productivity.
Own end-to-end delivery of scalable, high-availability mission-critical services with responsibility for architecture, automation, and cross-team collaboration.
12+ years of experience in Computer Science or related field (10+ years with advanced degree).
Minimum 3 years of hands-on management leading high-performing engineering teams.
Strong experience with real-time or streaming data platforms, distributed systems, and AI-assisted development tools (e.g., GitHub Copilot, ChatGPT).
Proficiency in Java or Python and technologies like Apache Kafka, Spark, Hadoop, Hive; experience in Agile environments; hybrid work model with 50%+ office presence.
Experienced leader in building data-intensive AI/ML-driven platforms, preferably in fraud, risk, or cybersecurity.
Technically hands-on leader who balances strategic architecture design and mentoring teams at global scale.
Proven ability to drive engineering productivity, system reliability, and adopt AI-augmented development practices across distributed teams.