Senior Software Engineer II

Build and deploy ML‐powered services, tools, and full‐stack applications supporting fraud and identity analytics. Work across backend services, model‐serving pipelines, and user interfaces.

Responsibilities

• Develop ML inference APIs, microservices, and data/feature pipelines.
• Build full‐stack tools to support model evaluation and transparency.
• Integrate ML models into real‐time production systems.
• Implement automated training, monitoring, and evaluation workflows.
• Use and contribute to AI‐assisted development tools.
• Own DevOps and security standards for assigned services.
• Collaborate with data scientists, architects, and QA

Requirements

• 4+ years software engineering (backend, full‐stack, or ML).
• Strong Python and Java.
• React + TypeScript experience.
• Snowflake or similar data‐platform experience.
• Familiarity with ML model serving and feature engineering.
• Strong ownership and independent execution.
• Working knowledge of DevOps and secure engineering

Preferred Experience

• LLMs, embeddings, or vector databases.
• Behavioural, graph, or anomaly detection models.
• dbt, Snowpark, or Snowflake ML.