TRM Labs

Senior or Staff Software Engineer, Data Platform (Canada)

TRM Labs • $125K — $150K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or related field.
  • 5+ years of hands-on experience in architecting distributed systems.
  • Exceptional programming skills in Python and SQL/SparkSQL.
  • Experience with data stores like Iceberg, BigQuery, and StarRocks.
  • Proficiency in workflow orchestration tools such as Airflow and DBT.
  • Familiarity with data processing technologies including Spark and Kafka.
  • Competence in cloud infrastructure management using Docker and Kubernetes.

Responsibilities

  • Build reliable data services to integrate with various blockchains.
  • Develop complex ETL pipelines for petabyte-scale data processing.
  • Design and architect data models for efficient data access.
  • Oversee deployment and monitoring of high-performance database clusters.
  • Collaborate with cross-functional teams to enhance product data models.

Benefits

  • Opportunity to build systems that impact the financial safety of billions.
  • Work in a dynamic and fast-paced environment focused on innovation.
  • Collaborate with top-tier data professionals in the field.
  • Engagement in a culture of feedback and continuous improvement.
  • Flexible and supportive work environment that values personal growth.
Full Job Description
The Data Platform team collaborates with an experienced group of data scientists, engineers, and product managers to build highly available and scalable data infrastructure for TRM's products and services. As a Software Engineer on the Data Platform team, you will be responsible for executing mission-critical systems and data services that analyze blockchain transaction activity at petabyte scale, and ultimately work to build a safer financial system for billions of people. The impact you will have here: • 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 an unwavering 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. What we're looking for: • Bachelor's degree (or equivalent) in Computer Science or a related field. • A proven track record, with 5+ years of hands-on experience in architecting distributed system architecture, guiding projects from initial ideation through to successful production deployment. • Exceptional programming skills in Python, as well as adeptness in SQL or SparkSQL. • Versatility that spans the entire spectrum of data engineering in one or more of the following areas: • In-depth experience with data stores and engines such as Iceberg, Trino, BigQuery, and StarRocks, and Citus. • Proficiency in data pipeline and workflow orchestration tools like Airflow, DBT, etc. • Expertise in data processing technologies and streaming workflows including Spark, Kafka, and Flink. • Competence in deploying and monitoring infrastructure within public cloud platforms, utilizing tools such as Docker, Terraform, Kubernetes, and Datadog. • Proven ability in loading, querying, and transforming extensive datasets. Learn about TRM Speed in this position: • Build a scalable engine to optimize routine scaling and maintenance tasks like create self-serve automation for creating new pgbouncer, scaling disks, scaling/updating of clusters, etc. Enabling tasks to be faster next time and reducing dependency on a single person! • Identify ways to compress timelines using 80/20 principle. For instance, what does it take to be operational in a new environment? Identify the must have and nice to haves that are need to deploy our stack to be fully operation. Focus on must haves first to get us operational and then use future milestones to harden for customer readiness. We think in terms of weeks and not months! • Identify first version, a.k.a., "skateboards" for projects. For instance, building observability dashboard within a week and later gathering feedback from stakeholders to identify more needs or bells & whistles to add to the dashboard. Application Instructions If you're interested in joining TRM, we encourage you to apply directly. Every application is reviewed by our Talent team. Before applying, review the job description carefully and highlight the experience and impact that best demonstrate the required qualifications. Please also provide thoughtful and accurate answers to the application questions, as these will be used to evaluate your qualifications for the role. If you send your resume directly to someone at TRM, we can't guarantee it will reach the appropriate hiring team. Applying directly is the best way to ensure you're considered. What to Expect From Our Interview Process Our process is designed to understand how you think, solve problems, and deliver impact, while giving you the opportunity to evaluate TRM. Most interview processes include a case study, AI skills assessment, and Leadership Principles interview. • Recruiter Intro: Explore your experience, motivations, and alignment with the role. • Hiring Manager: Dive deeper into your relevant experience, skills, and impact. • First Round: Typically 1-2 interviews focused on the skills most critical to the role. • Final Round: Typically 3-5 interviews to go deeper on your craft, problem-solving, and alignment with TRM. • References: We'll speak with former colleagues who can provide perspective on your work and impact. • Offer: If it's a mutual fit, your recruiter will walk you through your offer and answer your questions. • Welcome to TRM: Once you sign, we'll get you ready for your first day and onboarding. Your recruiter will share your specific interview plan and preparation guidance along the way. Learn more about interviewing at TRM AI Fluency at TRM AI fluency is a baseline expectation at TRM. We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks. At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to: • Accelerate repeatable workflows • Structure and solve problems • Improve output quality • Increase speed and leverage You will be evaluated on applied AI fluency during the interview process. Leadership Principles We hire and grow against three leadership principles. They're the standards for how we operate, treat each other, and make decisions. • Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment - test, ship, measure, and iterate quickly. • Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end-to-end, and invest in getting better everyday. • Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one-team mindset - giving and receiving feedback to make the team stronger. Join our Mission At TRM, we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you're excited by TRM's mission but don't check every box, we encourage you to apply - we hire for slope, judgment, and the will to learn fast.

About TRM Labs

Industry
Founded
2017

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