Trading Site Reliability Engineer Sports (Second Shift) | Experienced Hire

We are seeking a Trading Site Reliability Engineer (SRE) to support our sports trading this role you will work at the intersection of software engineering production operations and trading systems ensuring our systems run reliably efficiently and safely in live markets.
You will collaborate closely with developers quantitative researchers and infrastructure teams to build and maintain the tooling automation and observability required for a modern low latency trading environment. This is a hands on engineering role where you will contribute to production code improve system resiliency and help drive best practices for operability in a real time trading context.

Experience in trading systems particularly sports trading is highly desirable.

In this role you will:

• Design build and maintain tooling and automation to monitor the health performance and correctness of a real time trading environment.
• Write production grade software and scripts (Python Bash shell) to support system reliability deployment workflows and operational visibility.
• Work directly with traders quants and developers to understand trading system behavior production risks and operational requirements.
• Collaborate with infrastructure and platform teams on environment provisioning CI/CD workflows containerization deployment pipelines and system upgrades.
• Own production readiness for new system changes ensuring safe rollout and high availability.
• Investigate and resolve production issues across distributed systems networks market data feeds and exchange connectivity.
• Contribute to continuous improvement of incident response monitoring alerting and post-mortem practices.

Required:

• Bachelors degree in Computer Science Engineering or related field.
• Experience in software engineering site reliability engineering or a similar hands on technical role within a trading market making or financial markets environment
• Strong software engineering and scripting abilities especially in Python and shell scripting.
• Experience working with real time highly available trading systems (exchange connectivity market data order flow or similar).
• Ability to troubleshoot across the stack: Linux systems networks distributed services and application level logic.
• Excellent communication skills and comfort working closely with traders quants and developers.
• Ability to succeed in a fast paced high pressure production trading environment.
• In office work required 5 days per week. Must be willing to work 3pm-11pm and rotating weekends.
• Serve as a member of an on call schedule to handle production issues drive incident resolution and contribute to post incident improvements.

Nice to have:

• Experience with sports trading sportsbooks or event driven trading models.
• Exposure to cloud native tooling (Kubernetes containers observability stacks such as Prometheus/Grafana/ELK).
• Familiarity with prediction markets financial instruments market microstructure or exchange protocols.
• Strong quantitative reasoning skills.

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 youre a recruiting agency and want to partner with us please reach out to Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

#LI-KD-1

#LI-Onsite