About the role We’re looking for a Backend Engineer with Go experience to help build critical tools and services used by our AI and RFAI systems. You will work on building embedded data streaming agents, working with embedded systems and FPGA-based ML, and observability integrations for devices deployed globally. Your work will be instrumental in automating model deployment, enabling real-time debugging, and improving operational visibility across our fielded RF sensing infrastructure. You will be part of the AI Systems team , focused on increasing ML tooling capability, ML and data integrations, operational efficiency, automation, and observability across our AI teams and capabilities platform. Responsibilities, Duties and Expectations Develop Greenfield data streaming client applications, and extend the functionality of API services to support AI model deployment, observability, and data tooling Build and extend the rfai-agent for real-time log and telemetry streaming from embedded devices Integrate device and model metadata into observability platforms (e.g. Kibana, Elasticsearch) Support the development of deployment automation tools for edge devices Contribute to improving Dagster-based pipelines for model ingestion and testing Qualifications, Experience and Skills Proven experience developing backend services in Go (Golang) Strong foundational knowledge of Linux systems, networking, and system-level debugging Experience with infrastructure components such as systemd, Bash scripting, and process monitoring Familiarity with observability platforms and structured logging (e.g. ELK stack) Comfortable working in containerised environments and with CI/CD pipelines Bonus: Experience with infrastructure-as-code tools (e.g. Terraform, Ansible) or data pipeline tools (e.g. Dagster) Note for recruitment agencies: We do not accept unsolicited candidates from external recruiters unless specifically instructed.
