This role involves designing, building, and deploying high-performance Java systems for data processing, collaborating with traders and engineers globally.
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.
IMC's Sydney-based Java teams work on a wide variety of applications, tools and functionalities, including trading algorithm implementations, option pricing, calculating volatility, simulation frameworks, market risk applications, trade reconciliation applications and data analysis & visualisation tools for traders. We frequently need to develop not just the business applications themselves, but also the tools that keep our development process at the cutting edge.
This role sits within our Data Engineering team. The team builds highly-scalable, high-throughput, low-latency Java applications that move and transform data from thousands of sources at Petabyte scale powering everything from real-time trading to analytics.You'll work on a mix of greenfield and re-engineering projects, collaborating with developers globally to build scalable, reliable data platforms. Balancing speed with quality, you'll write robust, testable software and make thoughtful trade-offs between latency, throughput, simplicity and maintainability.
Your core responsibilities include:
Your Skills and Experience:
Our tech stack includes an ever-evolving range of systems and technologies, and our engineers have the freedom to choose the best solution for the problem at hand. If a new technology has the potential to add value, we'll actively invest in exploring, adopting and developing it.
IMC's Sydney-based Java teams work on a wide variety of applications, tools and functionalities, including trading algorithm implementations, option pricing, calculating volatility, simulation frameworks, market risk applications, trade reconciliation applications and data analysis & visualisation tools for traders. We frequently need to develop not just the business applications themselves, but also the tools that keep our development process at the cutting edge.
This role sits within our Data Engineering team. The team builds highly-scalable, high-throughput, low-latency Java applications that move and transform data from thousands of sources at Petabyte scale powering everything from real-time trading to analytics.You'll work on a mix of greenfield and re-engineering projects, collaborating with developers globally to build scalable, reliable data platforms. Balancing speed with quality, you'll write robust, testable software and make thoughtful trade-offs between latency, throughput, simplicity and maintainability.
Your core responsibilities include:
- Design, build, test and deploy high-performance Java systems for real-time and batch data processing.
- Develop tools and services around Kafka, Avro, Parquet and related streaming technologies.
- Contribute to internal frameworks for querying, storage, and data transformation - used globally across IMC.
- Partner with traders, researchers, and engineers to define requirements and deliver scalable data solutions.
- Own projects end-to-end, from requirements and architecture through to production deployment and monitoring.
- Continuously assess and introduce emerging technologies to improve performance, maintainability, and developer productivity..
Your Skills and Experience:
- 5+ years of experience as a Software Engineer with strong skills in Java 11+.
- Experience in the latest versions of Java is highly desirable
- Proven experience building scalable, low-latency, high-throughput applications.
- Familiarity with Kafka, Avro, Parquet and other data-oriented technologies is highly desirable.
- Experience with Docker and Kubernetes, and confidence working in Linux environments.
- Strong analytical and troubleshooting skills, with the ability to solve complex technical challenges independently.
- Experience gathering business requirements and translating them into technical solutions.
- Curious, adaptable, and proactive; comfortable working in a fast-paced environment with minimal supervision.
Our tech stack includes an ever-evolving range of systems and technologies, and our engineers have the freedom to choose the best solution for the problem at hand. If a new technology has the potential to add value, we'll actively invest in exploring, adopting and developing it.
Top Skills
Avro
Docker
Java 11+
Kafka
Kubernetes
Linux
Parquet
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