Senior UI Software Engineer II

In this role, you will design and deliver production‑grade portals and dashboards that enable customers to interact with large‑scale risk and analytics data in real time. You will work across the stack, collaborating with machine learning and backend engineers to ensure interfaces are reliable, secure, and intuitive. The focus is on building scalable UI solutions that meet strict performance, availability, and compliance expectations.

Responsibilities

• Architect and build production‑grade portal and dashboard interfaces in React and TypeScript
• Develop and maintain data‑facing views using like Dash or Domo, and Snowflake‑backed pipelines
• Deliver UI features that operate reliably at high data volumes with strict latency and availability SLAs
• Integrate front‑end applications with backend inference APIs, behavioural signals, and analytics services
• Implement secure UI patterns, role‑based access controls, and compliance‑aware data presentation
• Collaborate with ML engineers to surface model insights and AI capabilities through well‑designed interfaces
• Own DevOps responsibilities for front‑end services, including build pipelines, deployment, monitoring, and incident response
• Contribute to component libraries, design standards, and developer experience tooling

Requirements

• 5+ years of Software Engineering experience
• BS Engineering/Computer Science or equivalent experience required
• Strong production‑grade React with experience delivering at scale
• Hands‑on experience with at least two of Dash, Domo, Snowflake UI tooling, or comparable data visualisation platforms
• Experience building dashboards or data‑intensive tools in high‑throughput, SLA‑bound environments
• Ability to work with backend services in Python or Java to debug and extend the full data path
• Familiarity with data visualisation libraries such as D3, Plotly, ECharts, or similar
• Proven ability to take initiative and drive work independently
• Working knowledge of DevOps and security‑aware engineering practices, including CI/CD and deployment patterns
• Broad full‑stack curiosity and willingness to work outside a primary discipline when needed

Preferred

• Experience with Snowflake, Snowpark, or Snowflake-native application frameworks.
• Interest in LLMs, vector search, and modern AI application patterns.
• Prior work in fraud, identity, risk analytics, or similarly data-dense production environments.