Staff Engineer

Responsibilities

• Define and own the technical roadmap for foundational platform components powering fraud detection and identity verification at scale
• Lead complex architectural initiatives spanning multiple engineering teams and geographies
• Contribute production-grade code and raise engineering standards through hands-on implementation
• Design and evolve high-throughput distributed systems and real-time streaming data processing pipelines
• Drive the adoption of AI agentic workflows and integrate LLM-powered automation into production systems
• Partner with Product and cross-functional leaders to balance technical excellence with business priorities

Requirements

• 15+ years of software engineering experience, including success at Staff or Principal Engineer level
• Deep backend expertise with JVM technologies (Java, Kotlin, Scala) and/or Go
• Strong distributed systems and system design fundamentals (microservices, scalability, resilience)
• Hands-on experience with large-scale streaming architectures using Kafka and technologies such as Flink or Spark
• Experience integrating or operating AI agentic workflows and LLM-powered systems
• Proven track record of leading complex, cross-team technical initiatives from architecture to execution

Preferred Qualifications

• Experience building systems within fraud detection, identity verification, fintech, or risk platforms
• Full-stack exposure, including Node.js and modern JavaScript frameworks
• Background in security engineering, applied cryptography, or privacy-preserving systems

Benefits

• Flexible working hours and workplace
• Open vacation policy

About the Company

Incode is a Series B unicorn providing world-class AI-powered identity solutions. We help leading banks, fintechs, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy.