Full Stack Software Engineer – Insight Analytics

🕒 Maio 6

🌪️ Oklahoma – Remoto

🌪️ Oklahoma – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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CCT

SiteLinkedInTodas as Vagas

51 - 200 funcionários

🎮 Jogos

☁️ SaaS

🤝 B2B

Gaming • SaaS • B2B

A CCT é uma empresa de software B2B que fornece o Casino Insight, uma plataforma em nuvem desenvolvida exclusivamente para cassinos para automatizar a gestão de dinheiro, auditorias de receita, operações de cofres e análises abrangentes da propriedade. Suas soluções substituem processos manuais baseados em papel por dados unificados, fluxos de trabalho automatizados e insights quase em tempo real em operações de jogos, hotelaria, alimentos e bebidas e varejo, ajudando os cassinos a reduzir riscos, melhorar a eficiência e aumentar a rentabilidade. A CCT oferece suporte à implantação e ao sucesso contínuo do cliente, proporcionando ROI mensurável e economia operacional para os operadores de cassino.

Descrição

• 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.

🎯 Requisitos

• 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. • **Bonus** • 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.