30.10.2025 aktualisiert
nicht verfügbar
Senior Search, Observability & Operations Engineer
Hamburg, Deutschland
Weltweit
Dipl.-Inf. Angewandte InformatikÜber mich
Experienced Engineer in Search, Cloud Infrastructure, and Observability. Expert in Solr, Kubernetes, Terraform, Cloud Operations and Prometheus. Builds scalable, efficient systems with focus on automation, reliability, and GenAI-based search.
Skills
JavaAWS (Amazon WebServices)GCP (Google Cloud Platform)AnsibleTerraformKubernetesSpring Boot Apache SolrPrometheus/GrafanaGenAI
As a Senior Search & Operations Engineer, I support companies in designing, scaling, and optimizing modern, high-performance platforms. My core expertise lies in combining search technologies, cloud infrastructure, and observability to build reliable, efficient, and transparent systems – both on-premise and in cloud environments (AWS, GCP).
I have extensive experience in developing and operating large-scale search and web platforms, implementing Infrastructure as Code, and introducing agile DevOps practices. My work focuses on measurable outcomes – from reducing cloud costs and improving stability to accelerating deployment processes.
Core Competencies
- Search & GenAI: Apache Solr, Elasticsearch, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Semantic Search, Relevance Tuning
- Cloud & Infrastructure: Kubernetes, Docker, Terraform, Ansible, SaltStack, AWS, Google Cloud Platform
- Observability & Monitoring: Prometheus, Grafana, Langfuse, Graylog, OpenTelemetry
- DevOps & Automation: Infrastructure as Code, Continuous Integration/Delivery, Logging & Metrics, Security Hardening
- Software Engineering: Java, Spring Boot, REST APIs, Distributed Systems, Microservices
Working Approach
I take a systemic and pragmatic approach, focusing on long-term architectural stability and operational excellence. I work seamlessly across design, implementation, and production environments, ensuring sustainable, documented, and transparent solutions. Depending on project needs, I can take roles as Technical Lead, Architect, or Hands-on Engineer in cross-functional teams.
Added Value
- Proven success in cost optimization, performance tuning, and infrastructure modernization
- Strong communicator and advocate for knowledge sharing and agile collaboration
- Deep understanding of search relevance, observability, and high-traffic system design
- Experienced in bridging the gap between development and operations
Focus Areas
- E-Commerce & SaaS Platforms
- Enterprise Search & Information Retrieval
- Cloud & Infrastructure Automation
- GenAI Integration and LLM Observability
Short Summary
I design, build, and operate scalable search and cloud systems with a focus on automation, observability, and efficiency – delivering production-ready solutions that balance innovation with operational excellence.
Sprachen
DänischgutDeutschMutterspracheEnglischverhandlungssicher
Projekthistorie
Advised a search team managing an aging Solr search infrastructure, starting with an autocomplete overhaul. Subsequently, guided iterations on search ranking, named entity recognition, and experimentation with LLMs for reranking, helping the team build expertise and modernize the system.
- Built scalable cloud infrastructure for an agricultural publishing house on DigitalOcean using Terraform and Jenkins, ensuring automated, reliable, and maintainable deployments.
- Prototyped an AI-driven search engine and UI, showcasing LLM-based result clustering and RAG-based question answering, demonstrating innovative approaches to information retrieval.
- Developed a Google Gemini–based product discovery chatbot for a major e-commerce client, focusing on observability and interaction tracking using Langfuse to monitor LLM behavior.
- Achieved a 50% cloud cost reduction for an e-commerce search engine through a holistic optimization approach, including system architecture redesign and custom Solr plugins to improve query efficiency.
- Acted as a bridge between development and AWS cloud infrastructure in an e-commerce search project; introduced Prometheus-based observability and led a team in modernizing the overall system architecture.
- Implemented sharding in a large-scale Solr search platform, refactoring core components and adapting algorithms for distributed operation, while upgrading from Solr 7.x to 9.9.
Portfolio
Midmind.de
Founded midmind.de to support my wife (a midwife) with an AI-powered knowledge base, leveraging a RAG approach on verified literature and guidelines. Currently in private beta, the platform serves as a testing ground for RAG applications and LLM observability.
https://www.midmind.de