Systems and Database Engineer | Database Services

October 20, 2026

Job Description

Company: Susquehanna International Group
Location: Bala Cynwyd (Philadelphia Area),United States
Workplace Type: On-site
Employment Type: Full-time

About the Role

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.

What You’ll Do / Key Responsibilities

  • Design and Deployment: 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.
  • Performance Optimization: Optimize query performance through advanced indexing strategies, execution plan analysis, and schema design.
  • Tooling & Automation: Develop Python tooling and automation to support database operations, maintenance workflows, and system health.
  • High Availability & Reliability: Ensure high availability and reliability through replication, failover design, and disaster recovery planning.
  • Production Operations: Operate confidently in production environments — diagnosing and resolving time-sensitive issues with composure and precision.
  • Containerized Workloads: Manage and scale containerized database workloads using Kubernetes, including ClickHouse deployments.
  • System Monitoring: Monitor system health using observability tooling and proactively address performance degradation.
  • Cross-functional Collaboration: Collaborate with developers, researchers, and platform engineers to support data-intensive applications.
  • Workflow Acceleration: Apply AI tooling and best practices to accelerate engineering workflows.

Requirements & Qualifications

  • 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.

Preferred / Bonus Qualifications (if applicable)

  • 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.

Benefits & Perks (if applicable)

  • Not Specified

If you’re a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.