Job Details

Engineering Manager, Data Infrastructure & Serving Layer

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. 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.

The impact you'll have here:

• 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.

What we're looking for:

• 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

Our team is spread out over several countries and time zones. We've built a culture grounded in trust, transparency, and adaptability. We stay closely connected through open communication and regular check-ins.

The diversity of perspectives and expertise within our team sparks creative exchanges and enhances our problem-solving capabilities, allowing us to leverage our global synergy to drive innovation and efficiency.

We're driven by a deep sense of ownership, constant pursuit of improvement and an obsession with delivering magical experiences to our customers; these are a core part of our culture.

TRM is an equal opportunities employer and welcomes applications from diverse candidates.