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Founding Engineer for Industrial AI Platform (Data Infrastructure) at Gramian Consulting Group. About Us. Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.. Role overview. We are partnering with an innovative deep-tech company currently emerging from stealth and building an industrial data platform focused on real-time sensor connectivity, scalable data pipelines, and AI-driven analytics for manufacturing, energy, and critical infrastructure environments.. They are hiring their . first Backend & Data Infrastructure Engineer. — a foundational, high-ownership role responsible for designing and building the company’s data layer end-to-end, from edge ingestion through transformation, fusion, and delivery into analytics and AI systems.. This is a . foundational engineering role with founder-level responsibility. , working alongside senior engineers and leaders from globally recognized industrial, autonomous systems, and research organizations.. Model:. Contracting, Remote. Duration:. 6+ months. Location:. strong preference for Texas, US, alternatively LATAM. Key Responsibilities. Design and implement . end-to-end data pipeline architecture. spanning edge devices, ingestion, processing, storage, and delivery into analytics/AI workloads . Build scalable . ETL and data processing frameworks. with orchestration, schema management, versioning, and automated data quality controls . Develop . real-time and streaming infrastructure. supporting event-driven systems, edge-to-cloud synchronization, buffering strategies, and strict latency requirements . Own . DevOps and infrastructure engineering. , including CI/CD pipelines, infrastructure-as-code, container orchestration, and production deployment workflows . Implement and maintain . security architecture across the stack. , including access controls, secrets management, network segmentation, vulnerability scanning, and compliance practices . Establish strong . observability, monitoring, and operational tooling. for distributed systems running across cloud, edge, and enterprise integrations . Support onboarding of complex multimodal data sources including telemetry, time-series, video, audio, LiDAR, and geospatial datasets . Strong engineering background from leading technology companies or large-scale production environments. (for example globally recognized tech firms, large enterprise platforms, or similarly demanding engineering organizations) . Proven experience building . production-scale data pipelines or ETL systems. handling large-scale streaming and batch datasets . Hands-on work with . real-world industrial or multimodal data sources. , such as sensor telemetry, time-series, geospatial, video, audio, or point-cloud data . Strong experience owning . infrastructure and DevOps in production environments. , including CI/CD, containers, orchestration, and operational reliability . Practical experience implementing . security engineering practices. such as threat modeling, secrets management, system hardening, and secure architecture design . Experience as an . early engineer or key technical owner. building systems from scratch through production deployment. Company Location: United States.