at IMC Trading
Proprietary TradingPosted 7 days ago
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**Site Reliability Engineer** at IMC maintains a robust, low-latency trading environment. Key responsibilities include: - Translating trading requests to technical requirements, collaborating with cross-functional teams. - Overseeing trading system operations, ensuring stability and continuity. - Coordinating changes, leveraging AI tools for safe rollouts and efficient troubleshooting. - Developing automation tools to streamline processes and enhance efficiency. - Contributing to trading strategy enhancements and infrastructure improvement. - Facilitating market connectivity and collaborating with exchanges for issue resolution. Required skills: - Proficient in Linux, Kubernetes, Docker, Python, and shell scripting. - Strong networking fundamentals and experience with AI tools. - Prior experience deploying, running, and supporting high-performance applications. - Bachelors degree in Computer Science, IT Engineering, or related field. - Familiarity with Puppet, Prometheus, and Grafana is a plus.
- Compensation
- Not specified
- City
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- Country
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Currency: Not specified
Full Job Description
As a Site Reliability Engineer at IMC, you'll be an integral member of a highly experienced team, responsible for maintaining a robust, best in class, low latency trading environment. The skills necessary to excel could range from system administration, network troubleshooting, database optimization, software development, release management and performance engineering. This role provides daily challenges as no day is the same as the next. You will collaborate closely with systems, performance and network engineers, as well as traders and software developers across our organization.
Your Core Responsibilities:
- Translate trading requests into concrete technical requirements work with various focus teams in our organization toward generating innovative & scalable solutions
- Oversee the operation and maintenance of our trading systems, guaranteeing continuity and stability in our production trading environment
- Coordinate, prioritize and plan changes to our trading software. Leverage AI tooling to roll out and manage changes safely and support quick time-to-market for new features and updates
- Develop automation tools to streamline operational processes, reducing overhead and enhancing efficiency
- Contribute to the enhancement of trading strategies and trading infrastructure
- Facilitate essential core market connectivity and collaborate with exchanges on troubleshooting technical issues
- Use AI tools to accelerate incident investigation and root-cause analysis, driving improvements in system reliability and performance
Your Skills and Experience:
- Self-driven, passionate about engineering and possess a natural sense of curiosity
- Team player with strong communication skills
- In-depth knowledge and experience with Linux operating systems
- Experience with containerization and orchestration using Kubernetes and Docker
- Strong understanding of networking fundamentals, including TCP/IP, UDP, and related protocols
- Strong programming experience in Python and shell scripting
- Hands-on experience using AI tools in engineering or operational workflows, such as development, troubleshooting, automation or incident analysis
- Bachelors degree in Computer Science, IT Engineering, or Technology
- Prior experience in deploying, running, and supporting high-performance applications, as well as process monitoring and troubleshooting production-critical systems
- Prior experience with Puppet, Prometheus and Grafana is a plus but not required
About Us
IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.
