Our Production Services Team is looking for an Engineer

with a strong foundation in database technologies—not just a traditional DBA, but someone who understands how databases fit into a broader system architecture and can collaborate across disciplines to optimize 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.
• Optimize database performance, indexing, and query execution plans.
• Develop and maintain SQL scripts, stored procedures, and triggers.
• Ensure database reliability, availability, and security across Linux-based systems.
• Perform regular database backups, recovery testing, and disaster recovery planning.
• Monitor system health and troubleshoot issues related to database performance and connectivity.
• Collaborate with developers, data analysts, and DevOps teams to support data-driven applications.
• Automate database maintenance tasks using shell scripting and other tools.

• Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience).
• 1-5 years of experience in database engineering or administration.
• Strong proficiency in Linux (shell scripting, system monitoring, cron jobs).
• Advanced knowledge of SQL and experience with relational databases (e.g., PostgreSQL, MySQL, Oracle).
• Familiarity with NoSQL databases (e.g., MongoDB, Redis) is a plus
• Experience with database monitoring and performance tuning tools.
• Understanding of data integrity, normalization, and indexing strategies.
• Excellent problem-solving and communication skills.

Preferred Skills

• Experience with cloud-based database services (AWS RDS, Azure SQL, GCP Cloud SQL).
• Knowledge of database replication, clustering, and high availability setups.
• Familiarity with CI/CD pipelines and version control systems (e.g., Git).
• Exposure to data warehousing and ETL processes.

About Susquehanna

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.

If you're a recruiting agency and want to partner with us, please reach out to [email protected]. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

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