Top Tech Jobs & Startup Jobs in Germany

Designs, develops, and troubleshoots high-throughput laboratory automation workflows and orchestration systems. Builds instrument drivers, hardware abstraction layers, monitoring and alerting, digital lab representations, and integrations with LIMS and ELNs. Partners with scientists and hardware engineers to deploy complete automation solutions, while applying computer vision and AI/ML for error handling and robotics. Requires software engineering, hardware integration, laboratory workflow, prototyping, and scheduling-system expertise.

Lead geospatial engineering and surveying delivery for a major semiconductor construction project. Coordinate client requirements, survey teams, resources, equipment, field and office activities, technical methodologies, data processing, quality control, and project tracking. Establish survey control, estimate timelines and resources, identify delivery risks, communicate scope changes, and improve workflows and standards. The role requires strong construction surveying experience, CAD expertise, technical leadership, and the ability to manage multiple priorities.

Lead development, commercialization, and scaling of strategic technology partnerships. Own joint business planning, co-sell motions, contracting, partner enablement, cross-functional execution, executive relationship management, and joint solution innovation to drive partner-sourced revenue and partnership health.

Drive sales in NRW by finding and engaging hospitality venues, demonstrating product value, closing deals, handing off to onboarding, and using CRM and sales tools to optimize the funnel and market approach.

Leads the technical direction, delivery, lifecycle, and operational excellence of Sapiens IDIT and related insurance platforms. Responsibilities include managing enhancements, upgrades, integrations, vendors, technical roadmaps, risks, technical debt, releases, deployments, incidents, security, governance, budgets, licensing, and modernization. Partners with Product Owners, architects, engineers, business stakeholders, and implementation partners to deliver secure, scalable, reliable, and sustainable platforms.

Lead GenAI R&D and build production features end-to-end across a FastAPI Python backend, Angular frontend, and AWS. Make architectural decisions about LLMs vs ML/heuristics, shape prompt evaluation and data pipelines for financial signals and news, and guide other engineers through design and code reviews to keep the platform reliable and fast.

Own regional commercial strategy, advise Enterprise Sales leadership, prioritize opportunities, structure and negotiate strategic deals, develop investment justifications, and communicate proposal value to executive customers. The role requires strong quantitative modeling, business judgment, executive presence, leadership, and enterprise software knowledge, with close cross-functional collaboration across Sales.

Deploy and integrate ICEYE's intelligence platform into secure, often air-gapped environments; build containerized deployments, RAG and LLM-based AI workflows, data-fusion pipelines combining SAR and other intel, and lightweight analyst tools. Work embedded with customers to prototype, train, and iterate solutions while troubleshooting disconnected deployments.

Owns and optimizes CI/CD infrastructure, software configuration management, release engineering, and infrastructure automation for embedded-device software. The role collaborates with development, QA, product, and infrastructure teams; improves pipeline reliability; evaluates DevOps tools and practices; and builds reproducible, documented software packages that meet medical-device quality and regulatory requirements.

Build and operate Python services and APIs for GPU virtual machines and bare-metal infrastructure. Develop provisioning, placement, maintenance, recovery, capacity, and scheduling workflows; integrate GPU servers with OpenStack and Kubernetes; automate validation and production readiness; and improve testing, observability, deployment safety, and operational tooling. Investigate complex production issues across compute, networking, storage, virtualization, and hardware while owning projects through rollout and ongoing operation.