Senior Backend Engineer, Data Solutions

Chainalysis is a company focused on providing intelligence solutions for blockchain technology. They are seeking a Senior Backend Engineer to design and deliver new platform capabilities, improve data processing services, and lead engineering initiatives that support mission-critical investigations and monitoring workflows.

Responsibilities:

• Design and lead delivery of new platform capabilities that serve mission‑critical investigations and monitoring workflows
• Operate services that ingest, transform, and serve hundreds of terabytes of data with clear SLOs for latency, freshness, and availability
• Improve the scalability, performance, and cost efficiency of our data plane and APIs
• Raise the quality bar across reliability, security, and compliance for both cloud and on‑premises deployments
• Mentor engineers across teams and influence technical strategy beyond your immediate group
• Own and evolve backend services powering customer‑facing APIs, usage/billing, alerting, and data observability
• Lead team and cross-team initiatives end‑to‑end: discovery, architecture, implementation, rollout, and post‑launch learning
• Architect event‑driven and streaming workflows (e.g., Kafka) with strong data contracts and schema evolution
• Drive operational excellence: SLOs, runbooks, on‑call, incident reviews, and capacity plans for high‑QPS systems
• Partner with product, data engineering/science, and security to translate customer requirements into durable systems

Requirements:

• Expert backend engineering experience building cloud‑hosted services and data pipelines on AWS or GCP (bonus: both)
• Deep proficiency with APIs, streaming systems, and distributed systems (e.g., microservices on Kubernetes)
• Demonstrated ownership of systems operating at scale (hundreds to thousands of RPS; TB–PB data volumes)
• High judgment on reliability, security, and cost, with a track record of measurable improvements
• Ability to lead without authority—mentoring, design reviews, and cross‑org influence
• Blockchain domain knowledge (protocol fundamentals; smart contracts/Solidity)
• Databricks experience (Spark, Delta Lake, Delta Live Tables) or PySpark at scale
• Multi‑tenant, usage tracking, and billing systems experience
• On‑premises or regulated/air‑gapped deployments