Systems Platform Engineer

Description

The Intelligent Systems Platform Engineer at Hyper Solutions plays a critical role in building and scaling Hyper Sense, Hyper’s AI-native Industrial IoT platform for mission‑critical data center power and cooling infrastructure. This position is responsible for designing and operating the end-to-end platform that enables data ingestion, multi‑modal data management, AI model deployment, and customer‑facing intelligence products.

This role operates at the intersection of industrial systems, data engineering, and applied AI. You will architect and manage a polyglot data environment that integrates telemetry, engineering data, field service history, and OEM documentation into scalable, production‑grade data products. The Intelligent Systems Platform Engineer partners closely with data scientists, product managers, and customer‑facing teams to deliver advanced analytics and intelligent aftermarket services.

This position is well‑suited for a systems‑oriented engineer who thrives in building complex, data‑intensive platforms from the ground up and is comfortable operating across cloud infrastructure, industrial systems, and AI‑enabled data workflows.

• Design, build, and operate Hyper’s AI‑native Industrial IoT platform end‑to‑end
• Architect and manage a polyglot data platform leveraging appropriate storage technologies for time‑series, relational, unstructured, and vector data
• Build and maintain industrial data pipelines integrating IoT telemetry, engineering data, field service records, and OEM documentation
• Develop scalable data pipelines supporting both traditional machine learning and generative AI workflows
• Define and enforce data quality, governance, observability, and security standards across the platform
• Design and maintain industrial data models and asset frameworks supporting monitoring, benchmarking, and trend analysis
• Partner with data scientists to enable predictive maintenance, anomaly detection, and fault classification models in production
• Collaborate with analytics product managers to deliver data products such as condition‑based maintenance, fleet optimization, and energy efficiency insights
• Translate customer and operational requirements into platform capabilities and data products

• Capture and structure engineering and field service knowledge into standardized platform inputs
• Evaluate and select platform components including IoT gateways, edge devices, cloud services, and data infrastructure tooling
• Manage vendor and technology partner relationships to ensure alignment with platform roadmap and delivery expectations
• Embed security best practices aligned with IEC 62443 and OT/IT convergence standards into platform design and operation
• Maintain platform documentation including architecture diagrams, data lineage, and onboarding materials
• Partner with Sales and Product teams to align platform capabilities with go‑to‑market strategy and customer outcomes

• Bachelor’s degree in Computer Science, Electrical Engineering, Systems Engineering, or related field (Master’s preferred)
• 5+ years of experience designing and operating industrial IoT platforms, data pipelines, or OT/IT data infrastructure
• Strong experience with data modeling, schema governance, and high‑throughput data pipeline design
• Experience designing and implementing polyglot data architectures across multiple data types
• Hands‑on experience building end‑to‑end data pipelines for machine learning and generative AI workflows
• Familiarity with industrial communication protocols such as Modbus, BACnet, SNMP, OPC‑UA, and MQTT
• Experience working with cloud platforms such as AWS, Azure, or GCP for data and ML workloads
• Experience collaborating with data scientists and supporting production ML model deployment
• Strong understanding of data security, governance, and observability practices

• Experience with predictive maintenance, condition monitoring, or industrial analytics systems
• Familiarity with SCADA, DCIM, BMS, or CMMS platforms
• Experience applying generative AI and RAG techniques to technical or industrial datasets
• Experience with containerized environments and…