Full Stack Software Engineer - Insight Analytics

CCT is the creator of Casino Insight™, an award-winning platform for the gaming and hospitality industry. They are hiring a Full Stack Software Engineer to help build a next-generation analytics product, focusing on developing features across a TypeScript stack and managing the production lifecycle.

Responsibilities:

• Design and ship full-stack features across our TypeScript frontend and TypeScript Lambda backends
• Model data and metrics in Cube.dev; build embedded analytics experiences using Embeddable components
• Own the production lifecycle of your features: CI/CD, performance, observability, and post-deploy validation
• Implement your own AWS infrastructure (Lambda, IAM, networking, storage) using Terraform; we have a dedicated AWS engineer who will review and partner with you on the harder pieces
• Work day-to-day in Claude Code and contribute to the team's AI context library, prompts, and process improvements
• Pair with our designer, data engineers, and dashboard configuration lead to land features that hold up against real customer data

Requirements:

• 3–5 years of professional software engineering experience shipping production systems
• Strong working knowledge of TypeScript across frontend (React) and backend (Node/Lambda or similar)
• Familiarity with Python. We don't write a ton of it in this role, but enough that you should be comfortable reading and contributing where it shows up
• Real experience using Claude Code or comparable agentic coding tools as part of your daily workflow
• Hands-on experience with AWS in a production environment
• Experience building analytics or BI products (dashboards, drill-down, semantic modeling, query performance)
• Familiarity with Cube.dev or comparable semantic layers (dbt + a serving layer, LookML, AtScale, etc.)
• Experience with Embeddable or comparable embedded analytics frameworks
• Terraform or other IaC. You don't need to be the AWS expert on the team, but if you can spin up your own infrastructure and bring it for review, that's a strong plus
• Experience with serverless architectures and event-driven systems on AWS
• Background working with data pipelines, warehouses (Iceberg, Snowflake, Redshift, etc.), or pre-aggregation strategies