Engineer (Systems/Database)

Veritas Partners; Philadelphia (Philadelphia County); On-site; USD 90,000 - 135,000; Full time

Job summary

Veritas Partners seeks an engineer with a strong foundation in database technologies and systems engineering to improve performance, reliability, and scalability across data-intensive applications.

You will design, deploy, and maintain relational and non-relational databases at scale, optimize queries with advanced indexing, and build Python tooling to automate operations and health monitoring.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• 2–5 years of experience in database engineering, systems engineering, or related discipline.
• Strong SQL proficiency and deep knowledge of relational databases including indexing, partitioning, replication, and HA.

Responsibilities

• Design, deploy, and maintain relational and non-relational database systems at scale (hundreds of millions to billions of records, TB-scale datasets).
• Optimize query performance through advanced indexing, execution plan analysis, and schema design.
• Develop Python tooling to support database operations, maintenance workflows, and health monitoring.
• Ensure high availability through replication, failover design, and disaster recovery planning.
• Collaborate with developers, researchers, and platform engineers to support data-intensive applications.
• Apply AI tooling to accelerate engineering workflows.

Skills

SQL

Python

Kubernetes

Linux

AI tooling

Education

Bachelor's degree in CS/IS or related field

Tools

MariaDB

MongoDB

InfluxDB

ClickHouse

Neo4j

ProxySQL

Terraform

Job description

Seeking a skilled engineer with a strong foundation in database technologies and systems engineering; someone who understands how databases fit into broader system architecture and can collaborate across disciplines to drive performance, reliability, and scalability.

Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• 2-5 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.
• Kubernetes — deploying, managing, and debugging containerized workloads.
• Strong Linux knowledge — shell scripting, process management, system monitoring, and core command-line fluency.
• Working knowledge of AI tools and best practices for engineering workflows.
• US citizen preferred, but they are open to sponsorshop as well

Preferred

• Graph database experience (e.g., Neo4j or similar).
• ProxySQL configuration/routing experience.
• Infrastructure-as-code experience with Terraform.

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.
• Operate 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.