Dice operates a job marketplace for tech professionals, primarily serving engineering and data hiring. The tech stack reveals a services business built on Python, Django, and FastAPI for backend services, with PostgreSQL and SQL Server databases, deployed across AWS, GCP, and Azure. Active hiring is heavily skewed toward engineering (66 of 114 open roles), signaling either rapid platform scaling or services delivery expansion—supported by projects around go-live support, ETL development, and ML model deployment to GCP. The adoption of Docker, Kubernetes, and migration away from legacy SAP suggest internal modernization pressure.
Notable leadership hires: Salesforce Practice Director, AI Tech Lead
Dice is a public tech recruiting platform that connects job seekers with employers hiring across engineering, data, security, and operations roles. The company operates primarily in the United States. The platform provides job matching, application tools, employer profiles, and career resources aimed at tech professionals. Behind the scenes, Dice operates a services delivery organization: active projects span ETL application development, Salesforce implementation, health information systems architecture, and ML model benchmarking. The company is managing high-concurrency backend services and migrating legacy ETL pipelines to modern SQL and Python stacks.
Python, Django, FastAPI, PostgreSQL, SQL Server, Jira, Jenkins, GCP, AWS, Azure, Terraform, and Kubernetes. LLM tools include LangChain and LangGraph.
Go-live support, ETL application development, Salesforce go-to-market initiatives, ML model deployment and benchmarking, RSA Archer implementation, and health information systems architecture.
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Jobs via Dice's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.