Engineering Manager, Data Infrastructure & Serving Layer

TRM Labs

88d • $220,000 - $240,000

About The Position

TRM Labs is a blockchain intelligence company committed to fighting crime and creating a safer world. By leveraging blockchain data, threat intelligence, and advanced analytics, our products empower governments, financial institutions, and crypto businesses to combat illicit activity and global security threats. At TRM, you'll join a mission-driven, fast-paced team made up of experts in law enforcement, data science, engineering, and financial intelligence, tackling complex global challenges daily. Whether analyzing blockchain data, developing cutting-edge tools, or collaborating with global organizations, you'll have the opportunity to make a meaningful and lasting impact. We’re seeking an Engineering Manager who can combine technical leadership in building high-performance serving systems with people leadership in growing and mentoring a team. You’ll own the roadmap for our serving infrastructure, guiding architecture decisions and ensuring that our data services meet stringent performance, reliability, and usability goals.

Requirements

• Proven Leadership: 3+ years of engineering management experience, with a track record of building and scaling high-performing teams.
• Serving Layer Expertise: 5+ years of hands-on engineering experience building distributed serving systems, with deep knowledge of StarRocks on Iceberg, ClickHouse, or equivalent OLAP/serving technologies.
• Distributed Systems Mastery: Strong background in query engines, caching, materialized views, real-time ingestion (CDC/streaming), and hybrid batch + real-time serving architectures.
• Data Performance Focus: Skilled in query optimization, indexing, partitioning, and pre-aggregation strategies at scale.
• Strong Engineering Skills: Proficiency in Python, SQL, and solid understanding of database internals and query planning.
• Operational Excellence: Experience with Kubernetes, observability stacks, CI/CD, and reliability engineering practices.
• Collaborative Mindset: Ability to partner effectively with data science, product, and platform teams to deliver scalable data products.
• AI-native mindset: ability to leverage modern AI/ML tools and workflows to accelerate engineering productivity, data processing, and problem solving.

Responsibilities

• Lead and Scale a Team: Build and manage a high-performing group of engineers focused on the serving layer, balancing technical execution with career development and mentorship.
• Own the Serving Layer: Design, implement, and operate systems that provide low-latency, high-throughput access to petabyte-scale blockchain datasets.
• Architect Next-Gen Serving Infra: Drive adoption and evolution of StarRocks on Iceberg, ClickHouse, and related technologies to deliver hybrid OLAP and real-time query capabilities.
• Enable Data-as-a-Service: Build APIs, caching, indexing, and query engines that make processed data easily consumable by products, analysts, and external customers.
• Ensure Performance & Reliability: Establish and enforce SLAs for query latency and uptime; monitor, tune, and optimize queries, indexes, partitioning, and caching strategies.
• Cross-Functional Collaboration: Work closely with pipeline teams to define contracts, schemas, and freshness guarantees between batch/stream processing and serving systems.
• Production Ownership: Lead incident response and post-mortems for serving infra issues, ensuring resilience and continuous improvement.
• Strategic Vision: Shape the long-term roadmap for serving systems, balancing cost, performance, scalability, and developer experience.

Benefits

• Generous PTO
• Holidays
• Parental Leave for full time employees
• Participation in TRM’s equity plan

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 101-250 employees