Dice is the leading career destination for tech experts at every stage of their careers. Our client, Crowdplum Global Services LLC, is seeking the following. Apply via Dice today!
Job Description
- We’re seeking a hands-on Engineering Team Lead to design and deliver scalable backend services and data platforms within a distributed, event-driven architecture.
- This role blends technical leadership with system ownership and requires strong expertise in Databricks, .NET, data processing, and Azure-based Cloud/DevOps practices. The Team Lead will oversee daily support for Client’s Product Master and Vendor Master systems built on EBX, SSIS/ADF, SQL Server, ASP.NET, Azure, and on-prem environments. The role also includes hands-on development—delivering enhancements to legacy systems and designing and coding solutions in Databricks.
Key Responsibilities
- Own architecture across backend services, SQL/data models, and data pipelines
- Lead design and delivery of ASP.Net/.Net and REST APIs
- Hands on develop solutions using Databricks
- Ensure system reliability via monitoring, observability, and performance tuning
- Guide team on best practices in backend, data, and distributed systems
- Collaborate with stakeholders to align technical solutions with business needs
- Improve CI/CD pipelines and cloud infrastructure
Required Experience:
- Experience with Spark / Databricks
- Handling large-scale data processing (batch/streaming) ( SSIS/ADF/Kafka/Service BEvent Hub)
- Backend
- Strong experience with .Net /ASP.Net
- Solid experience with REST APIs, microservices, and distributed systems
- Strong knowledge of SQL, relational databases, and data modeling
- DevOps / Cloud
- Experience with Azure
- Hands-on with CI/CD pipelines (Azure, GitHub Actions)
- Experience with monitoring/observability tools (e.g., Datadog)
- Familiarity with containers and orchestration concepts
- Leadership
- Experience leading teams or driving technical initiatives
- Strong ownership of production systems and delivery
Nice to Have
- Experience with event-driven systems (Kafka or similar)
- Experience with large-scale data platforms
- Knowledge of GraphQL APIs
- Experience modernizing legacy systems
US
