Were looking for an experienced Query Infra Team Lead to build and lead this team - someone who comes from deep data infrastructure, analytical databases, search infrastructure, and large-scale querying, and who wants to shape one of the most important technical foundations of our platform.
What youll do
Create, build and lead our Data Infra team from the ground up.
Own the infrastructure of our investigation data layer for the Platform.
Turn our investigation infrastructure into a dedicated, well-defined platform capability.
Design and evolve the data models, schemas, indexing strategies, and query patterns that power our investigation databases.
Lead the architecture, operation, and scaling of the databases and search infrastructure that power investigation, analytics, and query use cases across the platform.
Partner closely with Product, Backend, DevOps, Security Research, and customer-facing engineering teams to define clear boundaries, contracts, and data-layer APIs.
Make the data layer reliable, observable, cost-efficient, and performant across many tenants and large volumes of security data.
Set engineering standards for schema design, data modeling, query optimization, migrations, backfills, and data-quality monitoring.
Mentor engineers, review technical designs, and raise the bar for how Zafran builds and operates data infrastructure.
Stay hands-on: this is a leadership role for someone who can still go deep into architecture, production issues, performance bottlenecks, and complex queries.
Requirements: What you bring
4+ years of experience as a Team Lead or Engineering Manager of a data infrastructure, platform, backend infrastructure, or database-oriented team.
4+ years of hands-on experience with large-scale analytical databases, data platforms, or search infrastructure.
Deep understanding of data modeling, query optimization, indexing, partitioning, storage layouts, and performance tradeoffs.
Production experience with ClickHouse, Elasticsearch, or similar systems (BigQuery, Snowflake, Redshift, OpenSearch).
Strong backend fundamentals and the ability to design reliable, scalable, observable, and maintainable systems.
Experience running data systems in production: monitoring, incident response, capacity planning, cost management, migrations, and backfills.
Ability to define clean interfaces between platform teams and product teams.
A leadership style that combines technical depth, ownership, mentorship, and cross-team collaboration.
Comfort in a fast-moving startup where the team is still being shaped.
Nice to have
Hands-on ClickHouse experience in production.
Hands-on ElasticSearch experience in production.
Experience with multi-tenant SaaS data architectures.
Experience with streaming or event-driven ingestion pipelines, including Kafka or similar technologies.
Background in cybersecurity, vulnerability management, exposure management, CTEM, SIEM, EDR, CNAPP, CSPM, or related security-data domains.
Experience building a new team, owning a platform capability, or extracting infrastructure ownership from a product team.
Experience supporting analytical or investigation-heavy product use cases.
This position is open to all candidates.