Senior Software Engineer, Data Infrastructure – RDBMS

🔥 2 hours ago

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TRM Labs

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

₿ Crypto

📋 Compliance

🤝 B2B

Crypto • Compliance • B2B

TRM Labs is a blockchain intelligence company that provides transaction-monitoring, forensics, and compliance solutions for businesses and public-sector organizations dealing with cryptocurrencies. Their platform and products (examples: Compliance360, Investigation360, Seizure360, Supervision360, BlockInt API, MCP, wallet screening, Know-Your-Asset) help banks, crypto firms, regulators, law enforcement, and tax authorities detect, investigate, and block illicit crypto activity, support seizures, and meet AML/CTF and supervision requirements. TRM also offers training and certification (TRM Academy) and professional services such as incident response and capacity development.

📋 Description

• Design and maintain petabyte scale high-performance databases and data models that support real-time investigations and analytics use cases • Build and optimize production data pipelines—batch and streaming—that transform large-scale blockchain datasets • Diagnose and tune complex SQL queries under heavy load, working closely with product and research teams • Own key infrastructure initiatives—from query optimization and index strategy to storage optimization and system resilience • Collaborate cross-functionally to deliver reliable and impactful data workflows end-to-end

🎯 Requirements

• 5+ years of experience in data engineering, analytics infrastructure, or backend systems with RDBMS depth • Experience implementing and maintaining database security measures, including access control, encryption, and compliance with security frameworks and standards • Proven expertise with at least one of: Postgres, MySQL, or SQL Server at production scale (e.g., TB-scale datasets, concurrency, replication, tuning) • Strong command of SQL reasoning—you know how to debug, explain, and optimize queries, not just write them • Experience designing and evolving data models (normalized and denormalized) to support analytical or operational use cases • Familiarity with data pipeline frameworks (e.g., Airflow, DBT, custom orchestration) • Systems thinking and ownership mindset—you’re comfortable solving ambiguous, cross-functional problems from end to end

🏖️ Benefits

• Health insurance • 401(k) matching • Paid time off • Remote work options • Professional development opportunities • Wellness programs • Equipment allowances