Database Administrator - PostgreSQL| Experienced

Overview

Susquehanna is seeking a PostgreSQL Database Administrator to join our team! This role offers the opportunity to leverage your current knowledge of relational database expertise to ensure stability and scalability of our enterprise database platform. You will not only focus on installing, configuring, and updating our growing environment of instances, but will also ensure that current and future instances are optimized to meet the needs of our evolving business.

• Scalability
  - This opportunity offers exposure to our high transaction and high availability financial trading environment consisting of multiple database platforms.
• Collaboration
  - You will partner closely with fellow database administrators, as well as our development and engineering teams to share ideas and recommendations for solutions that will increase and expand our enterprise database capabilities.
• Automation
  - As we continue to look for ways to automate and improve our environment, you will have the opportunity to further develop your scripting skills.
• Continuous Learning
  - We are looking for someone with a growth mindset who is interested in increasing their database skills

Real Impact: You’ll be designing and optimizing systems that process massive amounts of data, ensuring high performance and stability. You’ll see how your contributions towards developing and supporting leading-edge hardware and software solutions make a firm-wide impact that makes us all smarter, faster, and better.

Collaboration: Our systems engineers, network architects, technical analysts and software developers work together to create competitive edge through best-in-class technical solutions.

Growth: For many of our roles, we don’t expect you to have prior industry experience in proprietary trading or financial services to succeed at Susquehanna International Group. We’re looking for people who are naturally curious, relentless problem solvers, and have the desire to continuously innovate, learn, and grow.

Benefits: Susquehanna offers a wide array of competitive employee perks & benefits such as: an onsite wellness center staffed with a full-time Nurse Practitioner, a 9,000 square-foot gym, food & beverages available all day, onsite services such as dry cleaning & laundry, and auto repair & detailing.

• Bachelor’s degree in Computer Science or related technical discipline required
• 5+ years of experience with PostgreSQL required
• 2+ years of experience with MariaDB required
• Strong relational database knowledge, troubleshooting, and performance tuning required
• Thorough understanding of the Linux operating system and Linux shell scripting required
• Thorough understanding of database backup and recovery concepts required
• Experience with enterprise monitoring tools such as Percona
• Knowledge of high availability architectures
• Experience leveraging AI tools to streamline daily tasks and workflows.

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.

We are experts in trading essentially all listed financial products and asset classes, with a focus on derivatives trading. Through market making and market taking, we handle millions of trading transactions around the world every day, providing liquidity and ensuring competitive prices for buyers and sellers. While our presence in the market is broad, our trading desks are highly specialized, allowing for a deep understanding of unique drivers of each asset class.