Senior Software Engineer, Data Product
Blockchain intelligence company providing tools to detect, investigate, and manage crypto-related fraud, financial crime, and compliance for institutions and government agencies.
Funding history
Investors
About TRM Labs
TRM Labs provides blockchain intelligence for investigations and compliance, offering products such as forensics, wallet screening, entity screening, transaction monitoring, and APIs. It serves financial institutions, crypto businesses, and public sector agencies to trace funds, assess risk, and build cases across digital assets.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Design and build mission-critical data services that analyze blockchain transaction activity at petabyte scale. Develop intricate data models, scalable APIs, distributed systems, data pipelines, and streaming workflows, while collaborating with data scientists, backend engineers, and product managers to deliver reliable production features.
Requirements
- Bachelor's degree or equivalent in Computer Science or related field
- 5+ years of experience architecting scalable API development and distributed system architecture
- Exceptional programming skills in Python
- Proficiency in SQL or SparkSQL
- Experience with data stores such as BigQuery and Postgres
- Experience with pipeline and orchestration tools like Airflow and DBT
- Experience with data processing and streaming technologies such as Dataflow, Spark, Kafka, and Flink
- Experience deploying and monitoring infrastructure using Docker, Terraform, Kubernetes, and Datadog
- Proven ability to load, query, and transform extensive datasets
Responsibilities
- Build highly scalable features that integrate with multiple blockchains
- Design and architect data models for optimal storage and sub-second retrieval
- Collaborate with data scientists, backend engineers, and product managers to implement data-driven features
- Architect and develop scalable APIs and distributed systems
- Develop and maintain data pipelines and workflow orchestration
- Process, load, query, and transform large datasets
- Deploy, monitor, and maintain infrastructure in public cloud environments
