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KaaIoT
BackendMiddle
Middle Software Engineer — Query Engine / Data Platform
JavaC++SQLJenkinsDockerKubernetesGCPAWSAzureGitGitHubApache ArrowApache CalciteLLVMApache IcebergDelta LakeHudiParquetAvroORCPrestoTrinoApache SparkSnowflakeDatabricksKafkaNATSJDBCODBCArrow FlightGoogle Kubernetes EngineAWS EKSAzure Kubernetes ServiceTerraform
About the Position
Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. We are looking for a Middle-level Software Engineer to work on the core query engine of a large-scale distributed data platform, developing features across query planning, optimization, and execution.
Responsibilities
- Develop and maintain features across the query engine — planning, optimization, execution, and data access layers
- Write performance-conscious code in Java and/or C++
- Investigate and fix production and customer-reported issues under the guidance of senior engineers, including fixes delivered across multiple supported release lines
- Work with SQL semantics, query plans, and execution operators over large-scale distributed data
- Integrate with columnar formats, open table formats, and connectivity drivers
- Contribute to CI/CD and automated testing in Jenkins
- Deploy and validate changes on Kubernetes (GKE/EKS/AKS) across GCP, AWS, or Azure with Docker
- Debug issues across query planning, distributed execution, memory management, and I/O; collaborate with US-based teams on design and code reviews
Requirements
- B.S. or M.S. in Computer Science, Computer Engineering, or a related field
- 3+ years in backend / systems software engineering
- Strong proficiency in Java or C++ with solid OOP and software design fundamentals, including concurrency and asynchronous programming (comfort with both languages is especially valued)
- Strong SQL and understanding of relational and analytical data systems, including query execution concepts
- Hands-on experience with data processing systems: query engines, distributed databases, ETL/ELT, or analytical platforms
- Experience with Jenkins pipelines and modern development workflows
- Docker and basic Kubernetes (running workloads, debugging pods, kubectl fluency)
- Hands-on experience with at least one major cloud (GCP, AWS, or Azure)
- Confident Git/GitHub workflows
- Comfortable with AI-assisted development workflows — using modern AI tools for code comprehension, debugging, and test generation, and critically validating their output
- English Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team
- Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings
Middle Software Engineer — Query Engine / Data Platform
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