
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.
🕒 July 29
🏄 California – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
👮♀️ Software Engineering Manager
👻 Ghost score 39%
Where this job comes from
Posted on TRM Labs's careers page, not through a job board
First seen by Remote Rocketship July 29
Still open on TRM Labs's site. Checked 2 hours ago.
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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.
• Lead and nurture a team of high-impact engineers, offering guidance in both technical and cultural aspects. • Provide regular coaching and technical mentorship to your immediate team as well as contribute to the broader engineering department's growth. • Assume direct responsibility for ensuring the quality and timely delivery of the team's work, while overseeing the availability and performance of critical services. • Drive projects aligned with well-defined goals and measurable outcomes, accountable to key performance indicators (KPIs). • Foster best practices in design and usability, creating scalable solutions while emphasizing documentation and knowledge sharing. • Resolve operational escalations and collaborate with various teams to address production incidents until resolution. • Contribute to the creation of highly reliable data services that seamlessly integrate with numerous blockchains. • Engineer and optimize ETL pipelines that handle real-time transformation and processing of petabytes of structured and unstructured data. • Architect data models to ensure efficient storage and retrieval, maintaining sub-second latency for querying blockchain data. • Oversee the deployment and vigilant monitoring of large-scale database clusters, focusing on performance and high availability. • Collaborate cross-functionally with data scientists, backend engineers, and product managers to design, implement, and refine new data models in support of TRM’s products.
• A Bachelor's degree (or equivalent) in Computer Science or a related field. • A proven track record with over 5 years of experience in conceiving and implementing distributed system architecture, spanning from ideation to production. • Proficiency in Python programming and adeptness in SQL or SparkSQL. • Versatility across the entire spectrum of data engineering, encompassing areas such as: • - Expertise in data stores such as ClickHouse, ElasticSearch, Postgres, Redis, and Neo4j. • - Proficiency with data pipeline and workflow orchestration tools like Airflow, DBT, Luigi, Azkaban, and Storm. • - Advanced proficiency in data processing technologies and streaming workflows, including Spark, Kafka, and Flink. • - Competence in deploying and meticulously monitoring infrastructure within public cloud platforms, using tools such as Docker, Terraform, Kubernetes, and Datadog. • A demonstrated ability to handle the complexities of loading, querying, and transforming extensive and intricate datasets.
• Competitive salary • Remote work options
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