Data Platform Engineer – AI Platform

🕒 August 12

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 39%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 90 days.
• Jobs at this company usually fill in 32 days.
• No salary listed.

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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

• Own performance tuning on the StarRocks serving layer using AI-assisted query profiling • Build and harden data pipelines feeding government cloud investigations • Become a second independent operator of the GovCloud serving layer to reduce single-point-of-failure risk • Operate and troubleshoot production data infrastructure • Use AI-assisted debugging and log analysis to triage production issues and identify root causes • Collaborate with Forward Deployed Engineering and Product teams to maintain parity between government cloud and commercial platforms • Participate in weekly incident and infrastructure reviews, async Slack updates, sprint planning, and post-incident retrospectives • Support compliance milestones, runbooks, database migrations, backup/restore pipelines, and audit-log retention changes • Participate in on-call responsibilities

🎯 Requirements

• U.S. citizenship is required • Hands-on experience operating distributed OLAP or serving-layer systems such as StarRocks, Trino, ClickHouse, or similar • Experience with query tuning and performance optimization at scale • Experience owning data pipeline reliability and incident response • Comfort using AI tools such as Claude, Cursor, or similar for debugging, code review, and documentation • Ability to independently take ownership of unfamiliar production infrastructure • Ability to use AI-assisted research and code exploration to ramp quickly • Willingness and ability to take on-call responsibility with minimal oversight • Applied AI fluency, evaluated during the interview process • High ownership, adaptability, collaboration, creative problem-solving, and comfort operating in ambiguity

🏖️ Benefits

• Competitive benefits, varying by country and local employment requirements • Wellness programs • Time away from work • Distributed-first/remote work arrangement • Professional growth opportunities

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