Firmus Technologies
Technology
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer at Firmus Technologies. Skills: Data platform, Streaming pipelines, Data quality, Data governance. Design streaming ingestion pipelines. Operate streaming ingestion pipelines”
Industry & Context.
Anomaly detection; Resolve issues
What They're Looking For.
Must Have
Bachelor's degree in computer science, 7+ years of experience in data engineering, 3 years owning production data platform, Proficiency in Python and SQL, Experience with event streaming platforms, Experience with columnar and time-series databases, Experience with pipeline orchestration tooling, Experience with data transformation tooling, Kubernetes experience
Nice to Have
Focus on cloud infrastructure, Hybrid infrastructure experience, Self-hosted infrastructure experience, Managed cloud services experience, Familiarity with vector database integration, Awareness of SOC 2 Type 2 requirements, Awareness of ISO 27001 requirements
What You'll Do.
Design streaming ingestion pipelines
Operate streaming ingestion pipelines
Design batch ingestion pipelines
Operate batch ingestion pipelines
Design storage solutions
Implement storage solutions
Select appropriate technology
Own technology operation
Implement data quality validation
Build cross-layer observability
Surface and resolve issues
Build transformation layer
Define semantic layer
Design vector retrieval pipelines
Implement data catalogue
Implement lineage tracking
Implement access control
Implement data contracts
Deploy data platform components
Operate data platform components
How You'll Work.
Team & Collaboration
Across teams
Communication Scope
Clear communication; Effective communication; Written communication; Spoken communication
Process & Methodology
Infrastructure-as-code, CI/CD integration, Secrets management, Backup and restore, Capacity planning, Incident response
Full Job Description
Firmus Technologies Firmus Technologies is a global leader pioneering the development and operation of efficient AI infrastructure across Asia Pacific. Founded in Australia in 2019, our mission is to create the most efficient AI infrastructure by combining cutting-edge technology with a steadfast commitment to sustainability. At Firmus, we are unique in our approach. We design, build, and operate a new class of digital infrastructure – the AI Factory. Through our model-to-grid technology approach, we have pushed the boundaries of multi-generational liquid cooling systems, energy management, AI software orchestration, and construction. For our customers, this approach allows us to make every watt count and deliver low-cost AI tokens globally. Firmus AI Cloud Our large-scale GPU cloud platform, Firmus AI Cloud, is purpose-built to deliver energy-efficient AI compute at scale to customers. It empowers developers, enterprises, educational institutions, and government users to train and deploy AI models with unmatched efficiency and cost savings. With an ever-growing suite of services and applications, we are committed to delivering a cloud experience that is market-leading, proprietary, and built to scale. ROLE Firmus Technologies is seeking a Senior Data Engineer to join our Engineering and Technology team. You will lead the design, build and operation of self-hosted data platform across its full stack: streaming telemetry off GPU compute and cooling systems, data lake feeding hardware failure prediction models, AI-native layers powering agent-based workflows, and the governance layer that makes them secure and discoverable. This is the platform that connecting AI workload performance to energy efficiency across Firmus AI factories. KEY RESPONSIBILITIES Data Ingestion & Pipelines Design and operate streaming and batch ingestion pipelines from GPU cluster telemetry, cooling sensors, power grid, and incident data. Own reliability, schema evolution, and latency SLOs from
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