Docker Jobs at Numus
There are 2 Web3 Jobs at Numus
We are seeking a DevOps Trading Engineer to manage and maintain our cloud-based trading infrastructure and build tools to enable and accelerate research. The ideal candidate will have extensive experience in software development tools, production management and cloud tooling in a systematic trading environment.
Key Responsibilities:
- Manage and maintain the firm's production trading infrastructure, including automation of real-time and batch jobs
- Support the development team with ad-hoc and industry standard development and testing tools
- Drive the ongoing scaling, reliability and resiliency of our infrastructure and processes
- Ensure the security of all systems
- Troubleshoot and resolve any technical issues that arise, including server downtime, network connectivity problems, and software errors
- Monitor system performance and proactively identify and address any bottlenecks or other issues that could impact trading operations
- Work collaboratively with quantitative researchers, traders, developers, and other stakeholders to understand their needs and ensure that the trading infrastructure meets their requirements
Requirements:
- 3+ years experience as an Infrastructure/DevOps Engineer or similar roles, ideally in a fast-paced environment such as electronic trading. Must know how to tune for performance and monitor for failures.
- Production experience with cloud technologies, ideally AWS. Certifications alone are not enough.
- Practical working knowledge of UDP, TCP/IP, routing protocols and VPN technologies. Ability to dive deep and understand the full network stack.
- Religious about IaC - Hands-on experience with tools such as Terraform, Ansible/Puppet is required. Must have a passion for automation.
- Hands-on experience in building CI/CD pipelines, ideally with Github
- Practical experience with container technologies such as Docker/Kubernetes and GitOps processes is required
- Experience in database administration, preferably Postgres and MySQL
- Experience with monitoring frameworks such as Prometheus and Grafana
- Experience with time-series databases such as TimescaleDB and InfluxDB
- Exposure to streaming processing platforms such as Kafka is desirable
- Knowledge of key-value stores and in-memory databases such as Redis is a strong plus
- Proficiency in Python and Shell scripting
- Bachelor's degree in Information Technology, Computer Science, or related field (or equivalent experience)
- Self-starter with fluent communication in written and spoken English
- Based in London, with the ability to travel periodically to our office in Zug, Switzerland
Are you keen to work in a well-resourced startup environment, where your ideas, experience, and drive to find creative solutions makes a difference? We’d like to hear from you.