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10 mo agofound 5 h ago
Site Reliability Engineer - Data Engineering
What the posting is about
Manage and monitor large-scale data infrastructure. Drive automation and CI/CD. Collaborate with cross-functional teams. Stay updated with industry trends and implement innovative solutions.
Read out of the posting
LevelNot stated
Experience asked2+ years
EmploymentNot stated
LocationSydney, Australia
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2025-11-24
Found viagreenhouse, direct from their system
We saw it 11 months after it went up.
The posting, as the company wrote it
Join our dynamic and high-impact Data Engineering team, where you'll be responsible for our large-scale data collection, storage, access and query platforms. The work includes the safe and reliable operation of the platform, as well as projects to evolve and expand the capabilities. This is a critical role in the organisation as the data platform drives a huge range of trader analysis, simulation, reporting and insights.
You will join a growing team of four in Sydney which is part of the larger APAC Data Team, and will collaborate with counterparts in Chicago, Mumbai and Amsterdam.
Your Core Responsibilities:
Manage and monitor distributed systems, storage infrastructure, and data processing platforms, including Kafka, HDFS, Dremio, and in-house data pipelines.
Drive heavy focus on systems automation and CI/CD to enable rapid deployment of hardware and software solutions.
Collaborate closely with systems and network engineers, traders, and developers to support and troubleshoot their queries.
Stay up to date with the latest technology trends in the industry; propose, evaluate, and implement innovative solutions.
Your Skills and Experience:
2+ years of experience in managing large-scale multi-petabyte data infrastructure in a similar role.
Knowledge of Linux system administration and internals, with proven ability to troubleshoot issues in Linux environments.
Experience in at least one of the following technologies: Kafka, HDFS, Kubernetes.
Working knowledge of Docker, Kubernetes, and Helm.
Experience with data access technologies such as Dremio and Presto.
Familiarity with workflow orchestration tools like Airflow and Prefect.
Exposure to cloud platforms such as AWS, GCP, or Azure.
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.
Copied from IMC Trading’s own board, not rewritten. Original ↗
Also open at IMC Trading
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