
501 - 1000 employees
🔌 API
💳 Fintech
🔒 Cybersecurity
💰 $170M Series F on 2022-05
API • Fintech • Cybersecurity
Chainalysis is the leading blockchain data platform that provides blockchain intelligence solutions for various sectors, including law enforcement, regulators, financial institutions, and centralized exchanges. The company helps organizations tackle crypto challenges, ensure compliance with regulations, and mitigate risks associated with cryptocurrency transactions through its innovative solutions and insights. With an R&D hub known as Chainalysis Labs, the company is dedicated to advancing blockchain intelligence and supporting a safer digital economy.
🔥 25 minutes ago
AWS
Distributed Systems
Java
Kafka
Kubernetes
Microservices
Postgres
Python
Spark
Spring
Spring Boot
SpringBoot
Terraform
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501 - 1000 employees
🔌 API
💳 Fintech
🔒 Cybersecurity
💰 $170M Series F on 2022-05
API • Fintech • Cybersecurity
Chainalysis is the leading blockchain data platform that provides blockchain intelligence solutions for various sectors, including law enforcement, regulators, financial institutions, and centralized exchanges. The company helps organizations tackle crypto challenges, ensure compliance with regulations, and mitigate risks associated with cryptocurrency transactions through its innovative solutions and insights. With an R&D hub known as Chainalysis Labs, the company is dedicated to advancing blockchain intelligence and supporting a safer digital economy.
• Own and improve the data ingest Java service for enriched transfer generation and aggregations • Design and tune PostgreSQL transaction batching, indexing, and replication strategies • Evaluate next-generation technologies through proofs of concept and latency benchmarks • Write ADRs and contribute to delivering next-generation architecture to production • Build and maintain scalable AWS API services handling thousands of requests per second • Automate network onboarding end-to-end • Debug production issues across microservices • Define service-level objectives and participate in the on-call rotation • Integrate LLM-based tools into daily engineering work • Build agentic automation for incident triage, self-healing pipelines, and intelligent alerting • Ship and iterate alongside product and design partners
• 8+ years with PostgreSQL in production, including schema design, query optimization, partitioning, replication, and performance tuning under write-heavy, high-throughput workloads • 8+ years building Java Spring Boot services, including REST APIs, JDBC, connection pooling, and JVM performance profiling • Experience with Kafka or equivalent streaming systems, including consumer groups, offset management, and partition lag debugging • Track record operating distributed systems on AWS, including microservices, multi-silo deployments, and 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 • PostgreSQL, Java Spring, and Kafka experience required • Familiarity with AWS, Kubernetes, Terraform, Python, GitHub including GitHub Actions, Datadog, Humio, and PagerDuty • Database migration experience, Flink, Spark, lakehouse formats, Kubernetes operations, mentoring, and RFCs/ADRs are nice to have • Legally authorized to work for any employer in the United Kingdom without restrictions • Must address whether future sponsorship is required
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