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Chainalysis is the blockchain data platform trusted by organizations worldwide to investigate illicit activity, manage risk, and build innovative solutions. The company has become the leader in blockchain investigation and compliance software, with a track record of disrupting ransomware operations, identifying major cyber attacks, and combating terrorist financing.
You will join the engineering team as a Senior Software Engineer focused on Aggregation & Search, working on the data platform that powers blockchain analytics at scale. This is a high-impact role where you'll own critical infrastructure serving thousands of requests per second.
Key responsibilities:
- Own and improve the data ingest Java service for enriched transfers generation and aggregations
- Design and tune PostgreSQL transaction batching, indexing, and replication strategies for write-heavy, high-throughput workloads
- Contribute to next-generation architecture by running proof-of-concepts, benchmarking latency, and writing architecture decision records (ADRs)
- Build and maintain scalable API services on AWS handling thousands of requests per second
- Help automate network onboarding end-to-end
- Debug production issues across microservices, define SLOs, and participate in on-call rotation
- Integrate LLM-based tools into engineering workflows and build agentic automation for operational tasks including automated incident triage, self-healing pipelines, and intelligent alerting
Chainalysis emphasizes AI fluency as a core competency—not as a feature but as a new way of working. The expectation is that you develop AI capabilities yourself, bring ideas, and collaborate across teams to reinvent how work gets done.
The company operates globally with teams in Denmark, UK, Canada, and the USA, thriving on challenging technical work and exceptional talent.
REQUIREMENTS:
- 8+ years of production PostgreSQL experience: 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 serving delays from Datadog metrics to Humio logs to code paths
- Comfort with AI-assisted development and agentic engineering practices
- Bias to ship and iterate alongside product and design partners
- Genuine excitement for significantly scaling large data systems
Core technologies required: PostgreSQL, Java Spring, Kafka
Expected familiarity: AWS, Kubernetes, Terraform, Python, GitHub/GitHub Actions, DataDog, Humio, PagerDuty
Nice to have: Database migration experience, Flink/Spark/lakehouse formats (Delta Lake, Iceberg, Parquet), Kubernetes operations (StatefulSets, HelmReleases), mentoring engineers and driving technical decisions through RFCs/ADRs, interest in cryptocurrency
