Full Stack Software Engineer - Insight Analytics

Casino Cash Trac

Tulsa, US

Who this role is best for

Best suited to mid-level full stack engineers comfortable with AI-first development practices working in the gaming and hospitality industry.

Best fit for

TypeScript specialists who thrive in small, senior teams building from scratch.
— “You'll join a small, senior team building a unified reporting and insights platform from the ground up”
Developers experienced with AWS Lambda backends and React frontends.
— “TypeScript Lambda backends on AWS to deliver dashboards”
Engineers who embrace AI as a core development tool, not just an experiment.
— “Claude Code is a core part of how we work, not a side experiment”

Things to consider

Expect to own features end-to-end from design through deployment.
— “You should expect to own features end-to-end, from technical design through deploy and validation”
Work spans multiple technical domains within a tight timeline.
— “the work spans live-data integration, dashboard configuration, query performance and pre-aggregation, and enterprise security”

How to stand out

Demonstrate experience with semantic layers like Cube.dev in past projects.
— “We use Cube.dev as our semantic layer”
Show examples of production-grade CI/CD and observability implementations.
— “operational machinery (CI/CD, observability, query performance, distribution)”
Highlight experience with embeddable analytics components for customers.
— “Embeddable for our customer-facing analytics surfaces”

Pace · Fast PacedCollaboration · MediumAutonomy · MediumDecision Impact · TeamLevel · Mid Level

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

successful beta release
production-grade product delivery
enhanced query performance

Typical background

full stack engineeringcloud services

Skills & requirements

Required

Full Stack DevelopmentTypeScriptReactAWS LambdaCI/CDObservability

Preferred

AI IntegrationCube.devEmbeddable

Stack & domain

Full StackTypeScriptReactAWSCI/CDObservabilityQuery PerformanceEnterprise SecurityAIClaude CodeLeadershipProblem-solvingDecision-makingSoftware EngineeringGamingHospitality

About the role

Original posting from Casino Cash Trac via Lever

About the Role
We're hiring a full stack engineer to help us ship a next-generation analytics product for the gaming and hospitality industry. You'll join a small, senior team building a unified reporting and insights platform from the ground up, with a Beta release this summer and GA later in the year.
You'll work across our TypeScript stack with embeddable React components on the frontend and TypeScript Lambda backends on AWS to deliver dashboards, drill-throughs, and the operational machinery (CI/CD, observability, query performance, distribution) that turns features into a production-grade product. We use Cube.dev as our semantic layer and Embeddable for our customer-facing analytics surfaces.
The team is small and the surface area is wide. In the next twelve months, the work spans live-data integration, dashboard configuration, query performance and pre-aggregation, and enterprise security. You should expect to own features end-to-end, from technical design through deploy and validation.
We build with AI-first development practices. Claude Code is a core part of how we work, not a side experiment, and we treat investing in our shared context library, prompts, and process as part of the job. To be clear: we're a spec-driven shop, not a vibe-coding shop. AI lets us move faster on real architecture and real engineering; it doesn't replace the thinking.

Source: Casino Cash Trac careers (Lever)