SANDBX operates as a services-focused R&D shop with a polyglot tech stack spanning C#/.NET, Python, Kubernetes, and AWS — paired with emerging ML tooling (MLflow, Kubeflow, DVC). The project mix reveals a pivot toward AI: fitness trainers and shopping assistants sit alongside infrastructure work, suggesting SANDBX is positioning client engagements in the AI+cloud space. Hiring is decelerating (1 role posted in 30 days) despite mid-to-senior engineering and product openings, typical of services firms managing utilization across active client work.
SANDBX is a Fort Lauderdale-based R&D services company founded in 2017, delivering custom software development and team augmentation to mid-market and enterprise clients. The company manages a portfolio of 50+ active and delivered projects, ranging from AI-driven consumer applications (fitness and e-commerce) to cloud infrastructure scaling and observability overhauls. The stack reflects both legacy maintenance (ServiceNow, SQL Server, IIS) and modern infrastructure practices (Kubernetes, AWS, Docker, GitOps). Engineering and product teams are distributed across the United States and Ukraine.
SANDBX operates on C#/.NET, Python, AWS (Lambda, EKS, Beanstalk, CloudFormation, CDK), Kubernetes, Docker, Redis, MongoDB, Elasticsearch, MLflow, Kubeflow, DVC, GitHub Actions, Splunk, and ServiceNow. The stack balances legacy enterprise tools with containerized microservices and ML infrastructure.
SANDBX is delivering AI-powered trainer and shopping assistant projects, rewriting legacy systems (TQS and TEF), scaling AWS cloud infrastructure, enabling GitOps workflows, and implementing observability with Splunk. Current pain points include platform stability, performance scalability, and infrastructure reliability.
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