Senior Software Engineer, Aggregation & Search

Requirements

• 8+ years with PostgreSQL in production: schema design, query optimization, partitioning, replication, and performance tuning under write-heavy, high-throughput workloads
• 8+ years building Java Spring Boot services: REST APIs, JDBC, connection pooling, and JVM performance profiling
• Experience with Kafka or equivalent streaming systems: consumer groups, offset management, and partition lag debugging
• Track record operating distributed systems on AWS: microservices, multi-silo deployments, Terraform
• Strong cross-system debugging skills: tracing a serving delay from a Datadog metric to a Humio log to a code path
• Comfort with AI-assisted development and agentic engineering practices
• A bias to ship and iterate alongside product and design partners
• A genuine excitement for significantly scaling large data systems

Nice to have

• Database migration experience (evaluating and cutting over between storage systems)
• Flink, Spark, or lakehouse formats (Delta Lake, Iceberg, Parquet)
• Kubernetes operations (StatefulSets, HelmReleases, stateful workloads)
• Mentoring engineers and driving technical decisions through RFCs/ADRs
• Interest in the cryptocurrency

What you'll be doing

• Own and improve our data ingest Java service for enriched transfers generation and aggregations
• Design and tune PostgreSQL transaction batching, indexing, and replication strategies
• Contribute to the next-generation architecture, run PoCs, benchmark latency, and contribute to delivering the next generation to PROD
• Build and maintain scalable API services on AWS that handle thousands of requests per second
• Help automate network onboarding end-to-end
• Debug production issues across microservices, define SLOs, and participate in the on-call rotation
• Integrate LLM-based tools into daily engineering work and build agentic automation for operational tasks

Perks and benefits

• No specific perks and benefits listed in the job description