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About the Role
As a software engineer at IMC, you will work in multidisciplinary teams to deliver challenging projects, taking ownership for end-to-end product development. You will write reliable, high-performance software, balancing time to production with quality and testability, while considering trade-offs between latency, throughput, simplicity, scalability, and maintainability within a complex technological landscape.
Responsibilities
- Coding, developing, testing, deploying, and maintaining applications and automations for Trading Teams, Risk Management, Mid-Office, and Strategy Development Teams.
- Gathering details, requirements, and feedback from internal stakeholders to implement creative automation solutions using innovative coding practices.
- Working through internal client requests.
Requirements
- At least 5+ years of experience as a Software Engineer.
- Experience gathering business requirements, communicating with key stakeholders, and delivering solutions quickly.
- Ability to work on greenfield projects under minimal supervision and take full ownership of applications.
- High degree of flexibility and adaptability, willing and able to deal with uncertainty and ambiguity in a rapidly evolving environment.
- Strong troubleshooting and diagnostic skills; ability to solve problems creatively and proactively.
- Must have a passport valid for US (ESTA) and Australia (ETA/eVisitor or visa) business trips.
Skills
- Java 17+
- Docker
- Kubernetes
- Linux environments
Location
- Amsterdam
Work Type
- Full-time
Experience Level
- 5+ years
About the Company
- 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, IMC provides liquidity across trading venues, delivering the best outcome in value and risk management to investors.
- IMC uses proprietary technology and capital to build systems and algorithms that operate across global markets.
- IMC's researchers, traders, and engineers work collectively, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.