Senior Software Engineer

Senior Software Engineer - Data Platform
Caterpillar Inc. is seeking a Senior Software Engineer to join a specialist team focused on building a scalable data platform which ingests high-frequency telemetry data from mobile field machines and supports data science and machine learning workloads.
About the Position
Caterpillar products generate and process large amounts of data from sensors, on-board models, and control algorithms in real-time to create real-world machine usage information. As part of the digital strategy, Caterpillar has developed an integrated family of machine-based information technology products that interconnect machines to provide real time guidance, tracking, monitoring and supervisory control of the operational mining fleet. This family of products is branded MineStar. The MineStar product range links with other mining and business information systems and is an integral part of the Mining Technology Enabled Solutions vision.
Responsibilities
Design and implement robust, scalable components for ingesting, processing, and persisting high-frequency telemetry data.
Collaborate with data scientists to host, orchestrate and optimize workloads in Python, Scala, and Java.
Design and build components using technologies like Apache Spark, Delta Lake, Redis/Valkey, MQTT, and PostgreSQL.
Drive modernization efforts including containerization and deployment on Kubernetes.
Integrate with S3-compatible object stores (e.g., Ceph).
Evaluate and integrate emerging technologies (e.g., Flink, Trino, Kafka, DuckDB, Dask, Daft) to optimize performance and scalability.
Contribute to architectural decisions involving event sourcing, CQRS, and hybrid cloud deployments.
Ideal Candidate Profile
Extensive experience in backend development with languages such as Java, Scala and Python.
Proven track record working in teams to develop large, complex applications.
Deep understanding of streaming and batch data processing, ideally with Apache Spark or similar.
Experience with containerization (Docker) and orchestration (Kubernetes).
Familiarity with data lake/lakehouse architectures, especially Delta Lake.
Strong knowledge of message brokers (MQTT, Kafka) and caching systems (Redis/Valkey).
Comfortable working across multiple languages (Java, Python, Scala).
Experience in designing systems for scalability, multi-tenancy, and hybrid deployments.
Prior experience in Data Engineering roles, and expertise in machine learning algorithms and statistical modelling will be highly regarded.
Mining Industry knowledge is desirable but not mandatory.
Why Join Us?
Work on a technically challenging and meaningful application in the mining domain.
Be part of a forward-thinking team driving innovation in data-centric systems.
Influence architectural direction and technology choices.
Collaborate with experts in autonomy, data science, and distributed systems.
Compensation & Benefits
Competitive salary based on degree and professional experience. The Total Rewards package includes:
Competitive remuneration package
Attractive Bonus and Share options
Career development with global prospects
A strong commitment to safety and wellbeing
An inclusive workplace culture focused on quality, customer service and the environment
A commitment to diversity and inclusion, equal opportunity, and equal outcome
SMART spending APP
The opportunity to do meaningful work in a supportive, constructive culture
Additional Information
Caterpillar of Australia is not currently hiring individuals who require sponsorship for employment-based visas. However, as a global company, Caterpillar offers many job opportunities outside Australia. This position is not offering hybrid working arrangements; the successful candidate must be available to work 5 days from the office.
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply.
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