Tech Lead of Software Engineering

Join DataVisor as a Tech Lead of Software Engineering, where you will play a crucial role in building our next-generation machine learning platform for real-time fraud detection. You will lead the technical direction of the platform, mentor engineers, and drive technical execution in a high-impact environment. This is an exciting opportunity for someone who enjoys solving complex distributed systems problems and making a significant impact in the field of fraud detection and machine learning infrastructure.

• Assumer la direction technique de la plateforme de détection en temps réel, y compris les systèmes de streaming, de stockage et les pipelines d'entraînement qui la soutiennent.
• Traduire les feuilles de route produit et ingénierie en plans techniques clairs, en jalons et en priorités d'exécution.
• Identifier proactivement les risques techniques, les dépendances et les compromis avant qu'ils n'impactent la livraison.

• Strong knowledge of computer systems, relational databases, and SQL
• Demonstrated use of AI coding tools such as Claude Code, Cursor, GitHub Copilot, or similar tools in real production work
• Experience designing, building, shipping, and operating distributed real-time systems at scale
• Proven ability to lead technical outcomes across a team, including work you did not personally implement
• Strong verification discipline, with the ability to validate model outputs against source code, logs, documentation, and production behavior
• Experience building and optimizing multithreaded and concurrent applications
• Ability to set team-level standards for AI-assisted engineering, including how tools are used, how outputs are verified, and when AI-generated suggestions should be rejected
• Bachelor’s degree in Computer Science or a related field is required
• Experience with the Spring Framework
• Deep production experience with Java, along with working proficiency in Python and Shell scripting
• 8+ years of software development experience
• Hands-on experience with Cassandra, Yugabyte, Flink, Spark, or Kafka
• 2+ years of technical leadership experience as a tech lead, staff engineer, engineering manager, or similar role
• Experience in fraud, risk, payments, financial services, or another domain where false negatives carry significant business or customer impact
• Experience owning ML platforms or large-scale training pipelines
• Experience with Kubernetes
• Experience building with LLM APIs, agent frameworks, tool calling, RAG, or MCP
• Experience hiring, managing, or mentoring engineers
• Experience writing evaluations or regression tests for non-deterministic systems
• Experience with test-driven development