About the job
About Us
At Gramian Consultancy, we pride ourselves on being a premier boutique consultancy dedicated to IT professional services and engineering talent solutions. Our expertise in software engineering and leadership enables us to assist companies in assembling exceptional teams by connecting them with professionals tailored to their unique needs.
Role Overview
We are collaborating with a trailblazing deep-tech company that is transitioning from stealth mode to launch an innovative industrial data platform. This platform emphasizes real-time sensor connectivity, scalable data pipelines, and AI-driven analytics tailored for the manufacturing, energy, and critical infrastructure sectors.
We are seeking to hire a Founding Backend & Data Infrastructure Engineer. This pivotal role entails high levels of ownership and responsibility, as you will be instrumental in designing and constructing the company's data layer from edge ingestion to transformation, fusion, and subsequent delivery into analytics and AI systems.
This position offers foundational engineering responsibilities with a founder-level impact, allowing you to work alongside seasoned engineers and leaders from globally recognized industrial, autonomous systems, and research organizations.
Employment Model: Contracting, Remote
Duration: 6+ months
Location Preference: Strong preference for Texas, US, but open to candidates across Europe.
Key Responsibilities
- Design and implement an end-to-end data pipeline architecture that encompasses edge devices, ingestion, processing, storage, and delivery into analytics/AI workloads.
- Create scalable ETL and data processing frameworks featuring orchestration, schema management, versioning, and automated data quality controls.
- Develop robust real-time and streaming infrastructure that supports event-driven systems, edge-to-cloud synchronization, buffering strategies, and meets strict latency requirements.
- Oversee DevOps and infrastructure engineering, including CI/CD pipelines, infrastructure-as-code, container orchestration, and production deployment workflows.
- Implement and maintain a comprehensive security architecture throughout the stack, focusing on access controls, secrets management, network segmentation, vulnerability scanning, and compliance practices.
- Establish strong observability, monitoring, and operational tooling for distributed systems operating across cloud, edge, and enterprise integrations.
- Facilitate the onboarding of complex multimodal data sources, such as telemetry, time-series, video, audio, LiDAR, and geospatial datasets.
Requirements
- Demonstrated engineering expertise gained from leading technology companies or large-scale production environments (e.g., globally recognized tech firms or large enterprise platforms).
- Proven track record in building data architectures or frameworks for high-demand engineering organizations.
- Strong coding skills in modern programming languages and proficiency in data processing technologies.

