Top Tech Jobs & Startup Jobs in Germany

Lead architecture and execution of vNode runtime integration with containerd and the kubelet, define and test namespace-based isolation primitives, mentor engineers, run design reviews, operate internal tenant clusters, and represent the project in upstream communities and conferences.

Lead architecture and backend development for the vCluster platform by designing and implementing Kubernetes-native solutions in Go, owning features end-to-end, contributing to open-source, and solving deep systems challenges around multi-tenancy, isolation, and GPU infrastructure.

Lead end-to-end post-sales customer success for vCluster: onboard customers, build success plans, drive adoption, articulate business value, run executive reviews, design deployment architectures, and own renewals and expansion while advocating customer needs to Product and Engineering.

Lead design and delivery of total rewards programs for German and Austrian markets. Provide C&B expertise, market and fair-pay analysis, governance, training, and project support across regional and global stakeholders to attract and retain top talent.

Lead the DD&A program and project portfolio: prioritize initiatives, govern execution, improve portfolio management, lead a PMO team, manage vendors, and ensure strategy realization across digital and data transformation.

Lead omnichannel enablement strategy and roadmap for Germany. Manage a team for campaign execution and marketing technology, implement and integrate enterprise martech platforms, orchestrate customer journeys, support launch readiness, establish governance and performance metrics, and influence regional/global stakeholders.

Design and implement digital logic for MEMS/CMOS timing products: create micro-architecture and RTL (Verilog/SystemVerilog), develop testbenches and SVA, define timing constraints, run synthesis/STA, fix timing, collaborate across teams, and support post-silicon bring-up and validation.

Serve as primary customer contact for commercial operations: drive revenue and campaign performance, manage client relationships, coordinate cross-functional delivery, analyze KPIs, run UAT, and oversee requirement implementation to ensure high customer satisfaction.

The role involves maintaining production machinery, troubleshooting malfunctions, conducting calibrations, documenting maintenance activities, and supporting new equipment installations.

Design and implement Palantir Foundry workflows to aggregate and analyze multiple data feeds, maintain unified ontology and data synchronization, build customer-facing dashboards and custom components, and develop AI-enabled workflows and deployable marketplace solutions. Deliver scalable, user-friendly applications for federal clients while working within intelligence and systems engineering practices. Active TS/SCI required.

Support daily supply chain operations including order processing, inventory tracking, shipment coordination, and data maintenance. Monitor stock levels, escalate risks, assist reporting and planning, and participate in S&OP and product launch activities while collaborating with internal and external partners.

Own a manufacturing ERP product line for the German market: define roadmap and vision, author requirements and user stories, collaborate with sales, marketing, development and international teams, drive go-to-market and launches, conduct competitive and market analysis, support financial planning, and act as subject-matter expert to customers and internal stakeholders.

No specific tasks or qualifications are provided. The posting title suggests a role related to testing interfaces; responsibilities likely involve testing, validating, and supporting interfaces or integration points.

Lead development and integration of customer-specific adhesive bonding process solutions, perform feasibility studies, provide technical advice, implement technologies in manufacturing with sales and product management, and assume team personnel and resource allocation responsibilities.

Fullstack engineer (backend-focused) building synthetic testing, evaluation frameworks, and validation tools for AI agents. Develop APIs, event-driven systems, data workflows, and user-facing tools while collaborating with product, design, data, and ML teams to ensure reliability, performance, and product-quality delivery.