Tech Lead, Staff Software Engineer, Data Product

đŸ”„ 4 minutes ago

🏈 North America – Remote

đŸ’” $200k - $250k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

đŸ‘» Ghost score 6%

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Logo of TRM Labs

TRM Labs

201 - 500 employees

Founded 2018

₿ Crypto

📋 Compliance

đŸ€ 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

‱ Build highly scalable features integrating with dozens of blockchains ‱ Design and architect data models for optimal storage and retrieval with sub-second blockchain-data query latency ‱ Collaborate with data scientists, backend engineers, product managers, and customer-facing teams to design scalable data solutions ‱ Understand user needs and translate them into scalable data products ‱ Write clear design documents, communicate tradeoffs, and build cross-disciplinary alignment ‱ Drive scoping and execution of projects impacting multiple teams ‱ Partner with stakeholders on product vision and technical roadmaps ‱ Ensure system health and quality through operational reviews, testing strategies, and monitoring rigor ‱ Build and deliver data services analyzing blockchain transaction activity at petabyte scale ‱ Mentor engineers and analysts and improve team capabilities

🎯 Requirements

‱ Bachelor's degree (or equivalent) in Computer Science or a related field ‱ 5+ years of hands-on experience architecting scalable API development and distributed system architecture, and guiding projects from ideation through production deployment ‱ Exceptional programming skills in Python ‱ Adeptness in SQL or SparkSQL ‱ Experience with data stores such as BigQuery and Postgres ‱ Experience building pipelines, data platforms, or ML/BI workflows from scratch ‱ Proficiency with Airflow and DBT ‱ Expertise in Dataflow, Spark, Kafka, and Flink ‱ Competence deploying and monitoring infrastructure in public cloud platforms using Docker, Terraform, Kubernetes, and Datadog ‱ Proven ability to load, query, and transform extensive datasets ‱ Experience mentoring engineers or analysts ‱ AI fluency; bonus experience with LLMs or AI-powered workflows ‱ Ability to work effectively in a distributed, high-intensity, high-ownership environment

đŸ–ïž Benefits

‱ Equity plan eligibility ‱ Competitive benefits, varying by country and local employment requirements ‱ Wellness programs ‱ Time away from work

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