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Susquehanna International Group

Global quantitative trading, liquidity provision, research

Virtualization Engineer - OpenStack, Experienced Hire

Platform EngineeringConfirmed live in the last 24 hours
Full-timeBala Cynwyd, PA, USANo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Engineering, Computer Science, Information Systems, or a related discipline.
  • 1–5 years of progressive experience building Linux-based platforms at scale.
  • Familiarity with kernel-level and I/O subsystem tuning and tools such as sysctl, strace, tcpdump, and netstat.
  • Recent hands-on experience with automation in Python is required.
  • In-depth experience with open-source-based virtualization such as OpenStack, Red Hat OpenShift, KubeVirt, or similar.

Responsibilities

  • Contribute to a library of in-house tools, written primarily in Python and Bash, using tools such as Jenkins to automate bare-metal and virtual-server deployments, monitoring, and maintenance.
  • Tune virtualization environments for performance and network stacks for throughput and latency, and perform root-cause analysis of systems issues.
  • Work with stakeholders to understand business problems and implement scalable solutions using SAN and high-speed networks.
  • Design and implement the next-generation VM platform in OpenStack to replace the existing VMware guest environment.
  • Track and display cluster capacity, forecast and prepare for increased resource demands, and develop tools for monitoring and capacity planning.

About the Company

Susquehanna International Group

Global quantitative trading, liquidity provision, research

Susquehanna International Group (SIG) is a global quantitative trading firm that provides liquidity in equities, fixed income, commodities, and derivatives for institutional clients. Its core approach combines cutting-edge technology with quantitative research to build algorithms and models that identify trading opportunities and manage risk, enabling efficient, profitable trading. SIG differentiates itself through its deep emphasis on data-driven decision making, advanced technology, broad asset class coverage, and a strong global presence with offices in North America and regulated international locations. The company aims to generate trading profits by executing well-priced trades while supporting the careers of professionals in trading, technology, and quantitative research, all within a privacy-conscious framework.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Lower Merion Township, Pennsylvania
Founded
1987

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