Founding Engineer – Industrial AI Platform, Data Infrastructure
Posted 48ds ago
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Job Description
Founding Engineer at a deep-tech start-up building an industrial AI platform. Responsible for designing and implementing data layer architectures and scalable ETL frameworks.
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
Requirements:
- 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
















