Senior Distributed Compute Engineer, Spark & AI Infra
Granica
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Benefits offered by this job
Job summary
Granica is hiring a Senior Software Engineer to build distributed compute systems for enterprise-scale data and AI workloads. You will work on Crunch, Granica’s continuous data optimization platform, focusing on Spark-based execution, scheduling, and cost reduction across petabyte- to exabyte-scale environments.
The role emphasizes hands-on development with Spark, Trino, Presto, Flink, and lakehouse formats like Iceberg and Delta Lake.
Qualifications
- Strong engineering depth in distributed systems and data processing.
- Production experience with Spark, Trino/Presto or similar systems.
- Performance, reliability, and cost optimization for large workloads.
Responsibilities
- Build distributed compute systems for large-scale analytical and AI workloads
- Improve performance and cost efficiency across Spark, Trino, Presto, Flink, Databricks, Snowflake-adjacent environments
- Design workload-aware systems for execution, scheduling, and resource management
- Optimize joins, aggregations, scans, shuffles, and memory management
- Develop infrastructure for adaptive workload routing and reliability
Skills
Tools
Job description
Granica is hiring a Senior Software Engineer to build distributed compute systems for enterprise-scale data and AI workloads. You will work on Crunch, Granica’s continuous data optimization platform, focusing on Spark-based execution, scheduling, and cost reduction across petabyte- to exabyte-scale environments.
The role emphasizes hands-on development with Spark, Trino, Presto, Flink, and lakehouse formats like Iceberg and Delta Lake.
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