Database Site Reliability Engineer
Susquehanna International Group6 days ago
Dublin, IrelandEntry Level / Mid Level
H1B Sponsor
Responsibilities
- Develop expertise in database administration, performance analysis, troubleshooting, monitoring, capacity, reliability, backup, recovery, resilience, and disaster recovery.
- Analyze SQL, PL/SQL, execution plans, database performance, and operational telemetry.
- Support database upgrades, patching, lifecycle management, and automation of repetitive operational tasks.
- Build practical AI-assisted tools and agents for database diagnosis, operational investigation, monitoring, alerting, documentation, and workflow automation.
- Work with application and infrastructure engineering teams to diagnose complex production issues.
- Progressively take ownership of database engineering within a business-critical financial technology environment.
Requirements
- Strong aptitude, intellectual curiosity, analytical ability, problem-solving skills, and an engineering mindset.
- Strong interest in databases and how complex systems behave, with willingness to investigate problems deeply and learn quickly.
- Some programming or scripting experience and good SQL fundamentals, or a strong desire to develop them.
- Strong interest in AI and LLMs and their practical application to engineering.
- Good communication skills and confidence working with experienced engineers.
- Suitable background as either a strong graduate in Computer Science, Engineering, Mathematics, or a related technical discipline, or an early-career engineer with approximately 1–3 years of experience in databases, infrastructure, or software engineering.
- Beneficial exposure includes Oracle or other enterprise database platforms, Linux, Python or shell scripting, cloud platforms, and infrastructure automation.
About Susquehanna International Group
At Susquehanna, we approach quantitative finance with a deep commitment to scientific rigor and innovation. Our research leverages vast and diverse datasets, applying cutting-edge machine learning to uncover actionable insights and driving data-informed decisions from predictive modeling to strategic execution. Today, Susquehanna has over 3,500 employees in 16+ global locations. While we have grown in size and expanded our reach, our collaborative culture and love for gaming remains.