TRM Labs is looking to solve the problem of fighting crime and creating a safer world by leveraging blockchain data, threat intelligence, and advanced analytics to empower governments, financial institutions, and crypto businesses to combat illicit activity and global security threats. The Forward Deployed Engineer will work directly with TRM’s government customers to bridge their SaaS offering with federated capabilities and cloud architectures, enabling secure and scalable use of TRM in regulated industries.
Requirements
- 4+ years of hands-on experience building and deploying data pipelines in Python.
- Proven expertise with Apache Airflow (DAG development, scheduler tuning, custom operators).
- Strong knowledge of Apache Spark (Spark SQL, DataFrames, performance tuning).
- Deep SQL skills—able to optimize queries with window functions, CTEs, and large datasets.
- Professional experience deploying cloud-native architectures on AWS, including services like S3, EMR, EKS, IAM, and Redshift.
- Familiarity with secure cloud environments and experience implementing FedRAMP/FISMA controls.
- Experience deploying applications and data workflows on Kubernetes, preferably EKS.
Responsibilities
- Partner directly with mission-focused customers to design and deploy secure, scalable cloud-based data lakehouse solutions on AWS (e.g., S3, EMR/EKS, Iceberg or Delta Lake).
- Own and deliver production-ready ETL/ELT pipelines using Python, Apache Airflow, Spark, and SQL—optimized for petabyte-scale workloads.
- Containerize and deploy services on Kubernetes (EKS), using Terraform or CloudFormation for Infrastructure-as-Code and repeatable environments.
- Design integrations that ingest data from message buses, APIs, and relational databases, embedding real-time analytics capabilities into client workflows.
- Actively participate in all phases of the software development lifecycle: requirements gathering, architecture, implementation, testing, and secure deployment.
- Implement observability solutions (e.g., Prometheus, Datadog, NewRelic) to uphold SLAs and drive continuous improvement.
- Support mission-critical systems in production environments—resolving incidents alongside customer operations teams.
Other
- Bachelor's degree (or equivalent) in Computer Science, Engineering, or a related field.
- Excellent verbal and written communication skills—able to interface confidently with both technical and non-technical stakeholders.
- Willingness and ability to travel up to 25% to client sites as needed.
- Active TS/SCI clearance required (Polygraph strongly preferred).
