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# Senior Software Engineer, Aggregation & Search

- **Company:** Chainalysis Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Big Data, Data Infrastructure, Software Debugging, Distributed Systems, Github, Java Database Connectivity, Java Virtual Machine (JVM), Java Web Services, Spring Framework, Python (Programming Language), PostgreSQL, Performance Tuning, Query Optimization, Blockchain, Web Services, Parquet, Datadog, Large Language Models, Apache Spark, Spring-boot, Indexer, Database Migration, Data Lakes, Kubernetes, Apache Flink, Apache Kafka, Web3.js, Restful APIs, Terraform, Stream Processing, Pagerduty, Microservices
- **Published:** September 18, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pl4ro1un4p

## About the Role

We are building the data platform for blockchain, cryptocurrency, and web3. We're looking to bring onboard a Senior Software Engineer with deep PostgreSQL and Java Spring Boot experience who executes high-impact projects and is excited about building at a significant scale!, * 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

## Description

* 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. The team is evaluating a wide stack of cutting edge technologies. You will run PoCs, benchmark latency, and write ADRs 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: automated incident triage, self-healing pipelines, and intelligent alerting, * PostgreSQL
 * Java Spring
 * Kafka

Expected familiarity:

 * AWS
 * Kubernetes
 * Terraform
 * Python
 * Github including Github Actions
 * DataDog
 * Humio
 * PagerDuty

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


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