15 days ago
Berlin, Germany or Munich, GermanyMid Level
Responsibilities
- Deploy ICEYE’s intelligence platform into customer on-premise, air-gapped, and classified environments.
- Build and maintain Docker-based applications and manage deployments in customer Kubernetes clusters.
- Develop APIs and data pipelines integrating ICEYE systems with C4ISR infrastructure and intelligence tools.
- Build RAG systems, AI agents, prompt-driven workflows, conversational interfaces, and MCP integrations.
- Create data fusion pipelines combining SAR imagery with AIS, RF signals, optical imagery, and SIGINT.
- Develop lightweight tools, dashboards, alerting systems, and automated workflows for intelligence operations.
- Work directly with analysts, data scientists, and military operators to understand requirements and rapidly prototype solutions.
- Train customers on platform capabilities, gather feedback, and translate operational needs into technical requirements.
Requirements
- At least 3 years of hands-on software engineering experience building and deploying production systems.
- Strong Python skills plus experience with at least one of Go, TypeScript, or Rust.
- Hands-on experience with LLMs, prompt engineering, and RAG systems.
- Working knowledge of LangChain, LangGraph, pydantic-ai, and vector databases.
- Experience with Docker, APIs, data pipelines, production integrations, Linux, and basic Kubernetes operations.
- Strong communication and customer engagement skills, including the ability to explain technical concepts to non-technical stakeholders.
- Strong spoken and written English and willingness to travel 40–60% to regional customer sites.
- Must be based in Germany, speak German at a native level, and be eligible to attain relevant German and NATO security clearances.
- Experience in defense, intelligence, government operations, secure or air-gapped deployments, geospatial data, satellite imagery, MCP, multi-agent systems, Terraform, Ansible, offline CI/CD, GIS tools, data fusion, solution engineering, technical consulting, or customer success is preferred.
Benefits
- Hybrid work with approximately 50% of time on-site at customer locations and 40–60% travel within the region.
- Continuous professional development and training opportunities.
- Benefits supporting health and wellbeing, with offerings varying by location.
- Opportunity to take ownership in a collaborative global scale-up working on mission-critical space intelligence systems.
Tech Stack
Categories
Forward Deployed
