The Data Solutions team is building the core intelligence platform used by leading publicâsector agencies and privateâsector customers to investigate threat actors, monitor risk in real time, and derive insights from blockchain and related data at scale. We run lean, and move fast; weâre looking for engineers who are hungry for ownership and responsibility, enjoy moving quickly, care deeply about understanding the mission requirements of our customers, and are excited to deliver real-world impact.
In this role, youâll:
Design and lead delivery of new platform capabilities that serve missionâcritical 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 onâpremises deployments.
Mentor engineers across teams and influence technical strategy beyond your immediate group.
Own and evolve backend services powering customerâfacing APIs, usage/billing, alerting, and data observability.
Lead team and cross-team initiatives endâtoâend: discovery, architecture, implementation, rollout, and postâlaunch learning.
Architect eventâdriven and streaming workflows (e.g., Kafka) with strong data contracts and schema evolution.
Drive operational excellence: SLOs, runbooks, onâcall, incident reviews, and capacity plans for highâQPS systems.
Partner with product, data engineering/science, and security to translate customer requirements into durable systems.
Weâre looking for candidates who have:
Expert backend engineering experience building cloudâhosted 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; TBâPB data volumes).
High judgment on reliability, security, and cost, with a track record of measurable improvements.
Ability to lead without authorityâmentoring, design reviews, and crossâorg influence.
Nice to have experience:
Blockchain domain knowledge (protocol fundamentals; smart contracts/Solidity).
Databricks experience (Spark, Delta Lake, Delta Live Tables) or PySpark at scale.
Multiâtenant, usage tracking, and billing systems experience.
Onâpremises or regulated/airâgapped deployments.
Languages: Python
Orchestration & Runtime: Kubernetes, Docker, Cloud Functions/Cloud Run, Terraform
Streaming & Messaging: Kafka
Data Platform: Spark, Delta Lake, DLT, SQL databases
Cloud: GCP and AWS
Edge & Networking: Cloudflare
About Chainalysis
Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. Thatâs where Chainalysis comes in. We provide complete knowledge of whatâs happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence.
You belong here.Â
At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. Weâre ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here. We canât wait to meet you.Â
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