Manage and scale containerized database workloads using Kubernetes, including ClickHouse deployments. * Monitor system health using observability tooling and proactively address performance ...
Manage and scale containerized database workloads using Kubernetes, including ClickHouse deployments. * Monitor system health using observability tooling and proactively address performance ...
Manage and maintain applications responsible for telemetry collection, focusing on performance ... Resolve data bottlenecks and integrate SOAM data into ClickHouse for monitoring and analysis.
Manage and maintain applications responsible for telemetry collection, focusing on performance ... Resolve data bottlenecks and integrate SOAM data into ClickHouse for monitoring and analysis.
Manage and maintain applications responsible for telemetry collection, focusing on performance ... Resolve data bottlenecks and integrate SOAM data into ClickHouse for monitoring and analysis.
Manage and maintain applications responsible for telemetry collection, focusing on performance ... Resolve data bottlenecks and integrate SOAM data into ClickHouse for monitoring and analysis.
Manage and maintain applications responsible for telemetry collection, focusing on performance ... Resolve data bottlenecks and integrate SOAM data into ClickHouse for monitoring and analysis.
Manage and maintain applications responsible for telemetry collection, focusing on performance ... Resolve data bottlenecks and integrate SOAM data into ClickHouse for monitoring and analysis.
Manage and scale containerized database workloads using Kubernetes, including ClickHouse deployments. * Monitor system health using observability tooling and proactively address performance ...
Manage and scale containerized database workloads using Kubernetes, including ClickHouse deployments. * Monitor system health using observability tooling and proactively address performance ...
... managers, and people leaders. Our domain-driven organizational structure drives higher ... ClickHouse, Snowflake, or cloud data warehouses). * At least 3 years of experience with Big Data ...
... managers, and people leaders. Our domain-driven organizational structure drives higher ... ClickHouse, Snowflake, or cloud data warehouses). * At least 3 years of experience with Big Data ...
The team's scope includes organization and user management, permissions and SSO, reporting and ... ClickHouse or customer-facing analytics data visualization. How We Work We hold a high bar for ...
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The team's scope includes organization and user management, permissions and SSO, reporting and ... ClickHouse or customer-facing analytics data visualization. How We Work We hold a high bar for ...
Data-Driven: Being the owner of the entire hiring funnel, workforce management, and working ... Desirable experience with Cassandra, Elasticsearch, Kinesis, Spark/Hadoop, Clickhouse. * Desirable ...
Data-Driven: Being the owner of the entire hiring funnel, workforce management, and working ... Desirable experience with Cassandra, Elasticsearch, Kinesis, Spark/Hadoop, Clickhouse. * Desirable ...
Manager Clickhouse information
What is the difference between Manager Clickhouse vs Data Engineer?
| Aspect | Manager Clickhouse | Data Engineer |
|---|---|---|
| Primary Focus | Oversees Clickhouse database management, team coordination, and strategy | Designs, develops, and maintains data pipelines and infrastructure |
| Required Skills | Database administration, team leadership, project management | ETL processes, SQL, programming, data modeling |
| Certifications | Database management, cloud certifications, project management | Data engineering, cloud, and programming certifications |
| Work Environment | Management, strategic planning, team collaboration | Technical development, coding, data architecture |
The Manager Clickhouse primarily focuses on overseeing Clickhouse database operations and leading teams, while a Data Engineer concentrates on building and maintaining data pipelines and infrastructure. Both roles require technical knowledge, but the Manager Clickhouse emphasizes management skills, whereas the Data Engineer emphasizes technical development and data architecture.
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Full-time
Re-posted 29 days ago
Job description
Systems & Database Engineer (MariaDB)
Direct Hire
100% onsite - Philadelphia
US or Green Card
Our Production Services Team is looking for a skilled engineer with a strong foundation in database technologies and systems engineering - not a traditional DBA, but someone who understands how databases fit into broader system architecture and can collaborate across disciplines to drive performance, reliability, and scalability.
This role is part of a front office support team, focused on application database engineering for trading platforms and directly supporting traders in a high-performance, low-latency environment.
Key Responsibilities
What we're looking for Core Requirements
Nice to Have
Direct Hire
100% onsite - Philadelphia
US or Green Card
Our Production Services Team is looking for a skilled engineer with a strong foundation in database technologies and systems engineering - not a traditional DBA, but someone who understands how databases fit into broader system architecture and can collaborate across disciplines to drive performance, reliability, and scalability.
This role is part of a front office support team, focused on application database engineering for trading platforms and directly supporting traders in a high-performance, low-latency environment.
Key Responsibilities
- Design, deploy, and maintain relational and non-relational database systems at scale (hundreds of millions to billions of records, TB-scale datasets), including MariaDB, MongoDB, InfluxDB, and ClickHouse.
- Optimize query performance through advanced indexing strategies, execution plan analysis, and schema design.
- Develop Python tooling and automation to support database operations, maintenance workflows, and system health.
- Ensure high availability and reliability through replication, failover design, and disaster recovery planning.
- perate confidently in production environments - diagnosing and resolving time-sensitive issues with composure and precision.
- Manage and scale containerized database workloads using Kubernetes, including ClickHouse deployments.
- Monitor system health using observability tooling and proactively address performance degradation.
- Collaborate with developers, researchers, and platform engineers to support data-intensive applications.
- Apply AI tooling and best practices to accelerate engineering workflows.
What we're looking for Core Requirements
- Bachelor's degree in Computer Science, Information Systems, or a related field - or equivalent practical experience.
- 1-5 years of experience in database engineering, systems engineering, or a related discipline.
- Strong proficiency in SQL and deep working knowledge of relational databases - complex query manipulation, indexing, partitioning, replication, and high availability.
- Solid Python development skills - able to write production-quality scripts and tooling, not just one-off automation.
- Good understanding of Kubernetes - deploying, managing, and debugging containerized workloads.
- Strong Linux fundamentals - shell scripting, process management, system monitoring, and core command-line fluency.
- Comfort operating in a production environment - you handle pressure well and take ownership of reliability.
- Working knowledge of AI tools and best practices for engineering workflows.
Nice to Have
- Graph database experience (e.g., Neo4j or similar).
- Oracle database experience.
- ProxySQL configuration and routing experience.
- Infrastructure-as-code experience with Terraform.
- Familiarity with Prometheus and Grafana for observability and alerting.
- Prior experience in a production or trading environment.
About System Soft Technologies
Sourced by ZipRecruiter
Industry
It services
Company size
501 - 1,000 Employees
Headquarters location
Tampa, FL, US
Year founded
1999