Our client is a quantitative trading firm that delivers consistent alpha and trades $5B USD monthly on global exchanges. You will work closely with their quantitative research and software engineering team to monitor, maintain, mitigate and improve our systems, security and cloud infrastructure. Your work will directly contribute to reducing risk and increasing the efficiency of their daily trading.
Design and implement procedures for system troubleshooting and maintenance, perform root cause analysis for production errors
Monitor and upgrade our infrastructure, provide sysadmin support, user account management and access. Expand existing trade servers when needed.
Continuously improve and provide support for our devops tools (e.g. deployment tools, infrastructure management, monitoring, research cluster management).
The Ideal Candidate
University Bachelor Degree in Engineering, Computing or equivalent
Proficiency in programming languages such as C++, Java and/or Python.
Experienced with Infra as code: Terraform and Ansible
Experience with monitoring tools such as Prometheus and Grafana
Advantageous in understanding Alert and On-call Management: Opsgenie
Experienced with DB: AWS AuroraDB, ideally familiar with DB admin or light optimization would be a plus
Continuous Integration: CircleCI
Code Management: Github
Experience with core AWS services (ideally with user account and permission management), monitoring solutions and Linux/Unix administration.
In-depth understanding of how OS, processes, threads, CPU, and memory work.
Exposure to large-scale systems design, troubleshoot distributed systems, cloud-native applications or other relevant areas will be helpful
Strong notions of security best practices.
Compensation & Benefits
Competitive salary based on experience
Participation in company bonus pool
Daily catered lunch
Health insurance and wellness benefits
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33 Talent Singapore Private Limited
CEI Number: Kenny Ho - R1987518
EA License Number: 13C6298