Production Systems Group Engineer na Systematica Investments
Systematica Investments · London, Reino Unido · Onsite
- Professional
- Escritório em London
Key Responsibilities
- Build and maintain automated tools to support system deployments, monitoring, alerting, and operational workflows;
- Monitor health of trading systems with a goal of proactive failure prevention;
- Take ownership of, and improve incident response, root cause analysis, and blameless post-mortems;
- Partner with developers to build scalable, testable, and efficient deployment pipelines;
- Collaborate with trading, operations, and quant teams, as well as external vendors, to troubleshoot and optimise production environment.
- Strong Linux - adept at managing resource and security, diagnosing issues in storage, network and performance;
- Strong Python (OOO) and Bash;
- Strong MS SQL Server;
- GitHub;
- Build Servers & CI/CD pipelines.
- Deep working experience with Ansible playbooks & Galaxy;
- Observability platforms & protocols;
- Docker containers;
- Financial Services experience in similar buy-side environment;
- An eye for process improvement & opportunities for automation.
- Knowledge of AWS Services relevant to HPC and Batch computing;
- Supporting platforms over hybrid cloud infra;
- K8s orchestration;
- Terraform IaC.
Skills, Knowledge and Expertise
- Five or more years of experience supporting complex real-time trading systems at a hedge fund or investment bank;
- A breadth of exposure to different technologies in delivering improvement and change. This could include multiple operating systems, programming languages, databases, scripting solutions and deployment / configuration management tools;
- Strong attention to detail and commitment to process improvement; and
- Cool under pressure. Able to prioritise and have adaptability in dealing with uncertainty in their approach to solving problems.
- Analytical mindset and curiosity-driven troubleshooting.
- Calm, decisive demeanor during critical incidents.
- Empathy for both internal users and downstream systems.
- Bias toward eliminating root causes rather than treating symptoms.
- Educated to degree (or equivalent) level or higher, preferably from a leading university.
- Bachelor's or Master’s in Computer Science, Engineering, or equivalent field.