Engineering Manager (Blockchain)

TL;DR

Engineering Manager (Blockchain): Leading a team to build highly available and scalable data infrastructure for blockchain analysis with an accent on petabyte-scale data services and distributed systems. Focus on developing ETL pipelines, designing high-performance data models for sub-second latency, and managing critical database clusters.

Location: Remote (United States)

Salary: $220,000 - $240,000

Company

hirify.global provides AI-powered intelligence solutions to help investigate and disrupt financial crime across blockchains.

What you will do

• Lead and develop a team of high-impact engineers, providing technical, cultural, and hands-on leadership.
• Manage end-to-end availability and performance of mission-critical data services analyzing blockchain activity at petabyte scale.
• Build reliable data services and ETL pipelines to integrate with dozens of blockchains in real time.
• Design optimal data models for storage and retrieval to support sub-second query latency.
• Collaborate with data scientists and product managers to prioritize roadmap objectives and implement new data models.
• Deploy and monitor large-scale database clusters in public cloud environments.

Requirements

• Bachelor's degree in Computer Science or a related field.
• 5+ years of experience building distributed system architecture from design to production.
• Strong programming proficiency in Python and SQL or SparkSQL.
• Experience with data stores (ClickHouse, ElasticSearch, Postgres, Redis, Neo4j) and orchestration tools (Airflow, DBT).
• Proficiency in data processing (Spark, Kafka, Flink) and cloud infrastructure (Docker, Kubernetes, Terraform).
• Must be based in the United States.

Nice to have

• AI-native mindset and ability to leverage modern AI/ML tools to accelerate engineering productivity and problem solving.

Culture & Benefits

• Distributed-first culture grounded in trust, transparency, and adaptability across multiple time zones.
• High-velocity environment emphasizing personal ownership, urgency, and impact.
• Focus on continuous growth, experimentation, and iterative development.
• Eligibility to participate in the company's equity plan.

Hiring process

• Candidates will be evaluated on applied AI fluency during the interview process.
• Assessments based on core leadership principles: Impact-Oriented Trailblazer, Master Craftsperson, and Inspiring Colleague.