Top Engineering Jobs

Lead development and deployment of production-grade internal and customer-facing software, including scalable Big Data pipelines and cloud-native services. Responsibilities include Agile delivery, CI/CD, automated testing, defect analysis, production monitoring, stakeholder demonstrations, backlog planning, and 24/7 product support. The role requires strong Java backend development, Flink and Kafka expertise, REST APIs, AWS and Kubernetes deployment, databases, and DevOps practices.

Build and operate AWS infrastructure supporting AI Hub and CatalystAI. Develop CI/CD pipelines, manage infrastructure as code, deploy Dockerized services, monitor reliability, troubleshoot issues, implement security and secrets management, and support API integrations. Collaborate with development and platform teams to improve deployment workflows, documentation, operational readiness, and automation for AI tooling and developer platforms.

Diagnose and resolve complex customer issues involving HERE data, APIs, SDKs, and applications. Build AI-powered troubleshooting tools and automation, convert recurring problems into reusable workflows, experiment with Generative AI, and share engineering practices across Technical Support. Requires strong programming, REST API, cloud, distributed systems, troubleshooting, and customer communication skills.

Lead solution architecture for complex automotive navigation and ADAS/AD software solutions from presales through delivery and handover. Define system requirements, architecture views, interfaces, and technology choices while balancing customer needs, feasibility, cost, quality, and maintainability. Serve as a trusted technical advisor to automotive customers and internal teams, provide engineering leadership and coaching, communicate in German and English, and support deployments across embedded, cloud, and mobile environments.

Lead modernization of HERE’s mapmaking platform by defining scalable cloud-native architectures, APIs, data contracts, and interoperability standards. Design distributed systems for large-scale geospatial data, guide migrations from legacy platforms, establish data validation and quality frameworks, and create reusable platform capabilities. Influence technical strategy across engineering organizations while promoting Agile, DevOps, CI/CD, reliability, governance, and engineering excellence.

Design and develop scalable, high-quality backend systems for traffic automated road closure detection, handling the full software development lifecycle.