# Java Software Engineer at IMC Trading

> Australia · Unspecified · Backend · open. Source: https://alderhq.app/jobs/greenhouse%3Aimc%3A5020041101 (read 2026-11-11).

## Facts (observed)

- Company: [IMC Trading](https://alderhq.app/companies/imc-trading)
- Location text: Sydney, Australia; Sydney
- Where it can be done from (inferred): Australia (evidence: "Location: Sydney, Australia; Sydney")
- Posted: 2026-11-11 (0 days ago)
- First seen by alder: 2026-11-11 · last verified: 2026-11-11
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.eu.greenhouse.io/imc/jobs/5020041101
- Skills listed (inferred): Java, Kubernetes

## Pay and sponsorship

- Posted pay: not posted
- Recognised sponsor (NL): registered as "IMC Trading B.V." (checked 2026-11-09, [register](https://ind.nl/en/public-register-recognised-sponsors/public-register-regular-labour-and-highly-skilled-migrants))

## Description (the employer's text)

At IMC, technology is not a department; it’s at the heart of everything we do. Developed in house, our innovative software makes millions of trading decisions daily, and we win by making better and faster decisions than our competition.

Core Trading Systems (CTS) is a global team building the core platforms that every IMC trading system relies on. The team owns the cross-cutting concerns that sit underneath all our strategies: instrument definition, position tracking, market risk, execution risk controls and PnL reporting. Sitting at the centre of IMC's trading stack, CTS has firm-wide reach. The team partners with trading, technology and risk stakeholders in Sydney and around the world to help IMC enter new markets, make smarter decisions and run more reliable, performant systems.

Your Core Responsibilities:

- Design, build and maintain high-performance Java services for instrument definition, position tracking, market risk, execution risk controls and PnL reporting
- Extend our core platforms so IMC's trading systems can support new markets, products and exchanges
- Work directly with traders, risk managers and engineers, locally and globally, to turn their requirements into robust, scalable solutions
- Improve the reliability, latency and throughput of systems that every IMC trading desk depends on
- Own your work end to end, from design and testing through deployment, monitoring and production support
- Contribute to code reviews, design discussions and engineering standards across a global team
Your Skills and Experience:

- 3–5 years of professional software engineering experience, with Java as your primary language
- Strong computer science fundamentals: data structures, algorithms, concurrency and multithreading
- Experience building and running distributed, server-side systems in production
- A solid grasp of software design, testing and clean, maintainable code
- Clear communication and the ability to work with non-engineering stakeholders to understand what they need
- Ownership and curiosity: you take problems through to the end and want to understand how things work
### Nice to have

- Experience with Kubernetes and containerised deployments
- Exposure to financial markets or trading systems, especially positions, risk or PnL
- Experience with low-latency or high-throughput systems and JVM performance tuning
### 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.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aimc%3A5020041101 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.