Software Engineer (Data Platform)

Location: Remote within North America, Canada

Company

hirify.global provides AI-powered intelligence solutions that help public and private sector agencies investigate illicit activity and disrupt crime using blockchain intelligence.

What you will do

• Build highly reliable data services integrating with dozens of blockchains.
• Develop real-time ETL pipelines processing petabytes of structured and unstructured data.
• Design data models optimized for storage, retrieval, and sub-second blockchain data queries.
• Deploy and monitor large database clusters with a focus on performance and high availability.
• Collaborate with data scientists, backend engineers, and product managers on data models for TRM products.
• Build scalable automation for cluster maintenance, infrastructure provisioning, and observability.

Requirements

• Bachelor's degree or equivalent in Computer Science or a related field.
• 5+ years of experience architecting distributed systems and delivering projects from ideation through production.
• Strong programming skills in Python and proficiency with SQL or SparkSQL.
• Experience with data stores and engines such as Iceberg, Trino, BigQuery, StarRocks, or Citus.
• Experience with Airflow or DBT, and data processing or streaming technologies such as Spark, Kafka, or Flink.
• Experience deploying and monitoring cloud infrastructure with Docker, Terraform, Kubernetes, and Datadog.

Nice to have

• Experience loading, querying, and transforming extensive datasets.
• Applied AI fluency for accelerating workflows, structuring problems, and improving output quality.

Culture & Benefits

• Distributed-first work environment with hubs in Los Angeles, San Francisco, New York, Washington, D.C., London, and Singapore.
• High-ownership environment focused on rapid experimentation, iteration, and measurable impact.
• Close cross-functional collaboration and frequent communication.
• Work on complex problems at the intersection of AI, national security, and crime prevention.

Hiring process

• Recruiter introduction, hiring manager discussion, and skills-focused first-round interviews.
• Final interviews covering technical craft, problem-solving, and alignment with TRM principles.
• References followed by an offer and onboarding.