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.

As a DevOps Engineer you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities

• Build and release both infrastructure and product solution across multiple geo regions scale through automation
• Ensuring infrastructure and product solutions are deployed with scalability and reliability as key design requirements
• Work with System Engineers, Developers, Architects to design and implement automated solutions with CD Pipelines for infrastructure and software build, deployment, and configuration
• Implementing monitoring solutions using Grafana, GrayLog, Prometheus etc
• Build and maintain tools, scripts, and processes that make our developers and testers more efficient
• Maintaining and securing the infrastructure which supports production systems along with internal testing platforms.
• Provide support and troubleshooting on production systems including diagnosing and resolving post deployment issues, patching servers, implementing automated server hardening policies, investing / resolving and downtime incidents.
  
  

• 4+ years’ experience in a DevOps or technical role in an agile fast paced environment.
• Experience delivering Infrastructure as Code using tools such as terraform, chef, puppet, ansible
• Experience in deploying and managing container based services using Docker and Kubernetes
• Proficient in a scripting language Python, Bash PowerShell, YAML etc, Microsoft Azure Cloud
• Monitoring (Grafana, InfluxDB, Prometheus, New Relic, Pingdom), Databases (MSSQL Server)
• CI (Jenkins), Automated QC (SonarQube), Logging (ElasticSearch, GrayLog)

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