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במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
30,000-45,000 ₪
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 platform.
What youll do
Create, build and lead Data Infra team from the ground up.
Own the infrastructure of investigation data layer for the Platform.
Turn investigation infrastructure into a dedicated, well-defined platform capability.
Design and evolve the data models, schemas, indexing strategies, and query patterns that power 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 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.
What youll do
Create, build and lead Data Infra team from the ground up.
Own the infrastructure of investigation data layer for the Platform.
Turn investigation infrastructure into a dedicated, well-defined platform capability.
Design and evolve the data models, schemas, indexing strategies, and query patterns that power 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 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:
Experience leading engineers or acting as a technical lead in a data infrastructure, platform, backend infrastructure, or database-oriented team.
Strong hands-on background 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 technologies such as BigQuery, Snowflake, Redshift, OpenSearch, or other analytical/search systems.
Strong backend engineering fundamentals and the ability to design systems that are reliable, scalable, observable, and maintainable.
Experience operating data systems in production: monitoring, incident response, capacity planning, cost management, migrations, and backfills.
Ability to define clean interfaces between platform infrastructure teams and product/application teams.
A leadership style that combines technical depth, ownership, mentorship, and strong cross-team collaboration.
Comfort working in a fast-moving startup environment where the team is still being shaped and the technical foundations are evolving.
Experience leading engineers or acting as a technical lead in a data infrastructure, platform, backend infrastructure, or database-oriented team.
Strong hands-on background 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 technologies such as BigQuery, Snowflake, Redshift, OpenSearch, or other analytical/search systems.
Strong backend engineering fundamentals and the ability to design systems that are reliable, scalable, observable, and maintainable.
Experience operating data systems in production: monitoring, incident response, capacity planning, cost management, migrations, and backfills.
Ability to define clean interfaces between platform infrastructure teams and product/application teams.
A leadership style that combines technical depth, ownership, mentorship, and strong cross-team collaboration.
Comfort working in a fast-moving startup environment where the team is still being shaped and the technical foundations are evolving.
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
רמת גן
