AI-powered automation platform for enterprise data and payments workflows
DataNimbus operates a cloud-native automation platform targeting data integration, AI application deployment, and payments orchestration. The stack is Java/Spring-heavy on the backend (Node.js, MongoDB, PostgreSQL, MySQL, Redis) with modern DevOps tooling (Docker, Kubernetes, AWS/Azure) and a strong Databricks + PySpark footprint — reflecting active focus on big-data migration and productionizing machine-learning workloads. The hiring mix skews data (4 roles) over engineering (3 roles), mostly senior-level, signaling execution-focused scaling rather than building from scratch.
DataNimbus is a privately held enterprise automation platform founded in 2018 and headquartered in Dallas–Fort Worth. The company serves mid-market and enterprise businesses transitioning to cloud-native operations, with particular strength in big-data modernization, third-party system migrations, and deploying machine-learning models to production. Current project focus spans reference architecture development, large-scale data migrations, and productionalization of customer data science workloads on Databricks. Hiring is concentrated in India across data and engineering disciplines, with preference for senior practitioners.
Backend: Java, Spring Framework/Boot, Node.js, PostgreSQL, MySQL, MongoDB, Redis. Data layer: Databricks, PySpark, Python, SQL. DevOps: Docker, Kubernetes, AWS, Azure. API management: WSO2 API Manager, Swagger. Build: Maven, Jenkins.
Reference architecture development, big-data migrations, productionizing customer data science workloads on Databricks, third-party system migrations, and deploying LLM solutions on customer data.
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