Sre Engineering Manager - Scale And Reliability Leader

Google LLC; Sydney; On-site; AUD 110,000 - 150,000; Full time

Job summary

IMC is a research-driven trading firm focused on quantitative modeling, machine learning, and engineering to shape modern markets. The Data Engineering team in Sydney handles large-scale collection, storage, access, and querying platforms, ensuring safe and reliable operation and enabling growth of analytics for traders and researchers.

The role supports a growing Sydney team and collaboration with colleagues in Chicago, Mumbai and Amsterdam.

Qualifications

• 2+ years of experience managing large-scale multi-petabyte data infrastructure.
• Strong knowledge of Linux system administration and troubleshooting in Linux environments.
• Experience with at least one of Kafka/HDFS/Kubernetes.

Responsibilities

• Manage and monitor distributed systems, storage infrastructure and data processing platforms.
• Drive automation and CI/CD to enable rapid deployment of hardware and software solutions.
• Collaborate with traders, developers and engineers to support and troubleshoot queries.
• Stay up to date with technology trends and implement innovative solutions.

Skills

Linux

Kafka

HDFS

Kubernetes

Docker

Airflow

Tools

Docker

Kubernetes

Helm

Airflow

Prefect

Dremio

Presto

Job description

Data Engineering Team – Sydney

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 critical role in the organisation drives a huge range of trader analysis, simulation, reporting and insights.

You will join a growing team of four in Sydney, 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 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.