Staff Software Engineer, Data Platform

As a Staff Software Engineer on the Data Platform team at TRM Labs, you'll execute mission-critical systems and data services that analyze blockchain transaction activity at petabyte scale. You collaborate with data scientists, engineers, and product managers to build highly available and scalable data infrastructure for TRM's AI-powered intelligence solutions used by leading agencies and businesses worldwide to investigate and disrupt crime.

What you'll do

• Build highly reliable data services to integrate with dozens of blockchains.
• Develop complex ETL pipelines that transform and process petabytes of structured and unstructured data in real-time.
• Design and architect intricate data models for optimal storage and retrieval to support sub-second latency for querying blockchain data.
• Oversee the deployment and monitoring of large database clusters with a focus on performance and high availability.
• Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement novel data models that enhance TRM's products.
• Build scalable engines to optimize routine scaling and maintenance tasks, enabling self-serve automation and reducing dependency on individual team members.
• Identify ways to compress timelines using the 80/20 principle, focusing on must-haves first to reach operational status quickly, then hardening for customer readiness in future milestones.
• Identify first versions or "skateboards" for projects, building rapid prototypes and gathering stakeholder feedback to prioritize future enhancements.

What you bring

• A Bachelor's degree (or equivalent) in Computer Science or a related field.
• 5+ years of hands-on experience architecting distributed system architecture, guiding projects from initial ideation through successful production deployment.
• Exceptional programming skills in Python, with proficiency in SQL or SparkSQL.
• In-depth experience with data stores and engines such as Iceberg, Trino, BigQuery, StarRocks, and Citus.
• Proficiency in data pipeline and workflow orchestration tools like Airflow and DBT.
• Expertise in data processing technologies and streaming workflows including Spark, Kafka, and Flink.
• Competence in deploying and monitoring infrastructure within public cloud platforms, using tools such as Docker, Terraform, Kubernetes, and Datadog.
• Proven ability in loading, querying, and transforming extensive datasets.
• AI fluency: you apply AI to accelerate repeatable workflows, structure and solve problems, improve output quality, and increase speed and leverage. You are among the top 10 percent of operators in your function in how you apply AI.

About TRM Labs

TRM Labs is a Series C company with $220M in total funding, backed by Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. TRM provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime.