28.11.2025 aktualisiert
Premiumkunde
100 % verfügbarSenior Go Backend Engineer with AI/Full-stack, DevSecOps and Cloud Expertise
Hamburg, Deutschland Bachelor of Science in Computer Science
Skills
JavascriptAPIsKünstliche IntelligenzArchitekturHtml5Microsoft AzureCSSCloud ComputingContinuous IntegrationKryptographieShardingWeb EntwicklungGithubInfrastrukturPythonKernel-Based Virtual Machine (KVM)PostgresqlLinux ServersOauthTelemetriePrometheusIntegration (Software)TypescriptVulnerability ManagementWorkflowsOpenapiTailwindReactJSLarge Language ModelsGrafanaBackendWebpackKubernetesUnternehmens-IntegrationRestful ApisTerraformDevsecopsDocker
AI/LLM Workflows
RAG pipelines including chunking, embeddings, and Vald implementation, multi-model routing with OpenAI, Gemini, vLLM, and Ollama, code execution sandboxes, and tool orchestration
Web Development
React with TypeScript, Vite, Tailwind CSS, React Router, TanStack Query, data-heavy interfaces, custom components, HTML5, CSS3, Jest, REST/SSE APIs, pagination, and i18next
Backend Engineering
Lock-free design, OpenAPI generation, encryption, sharding, PostgreSQL, cloud native architecture, schema design and migrations, API orchestration, webhook systems, and reconciliation
Cloud & Infrastructure
Docker, Kubernetes, Helm, GitHub Actions CI/CD, Python, Linux server administration, containerized dev environments, KVM and cloud-init
DevSecOps
Terraform, Prometheus, Grafana, Fluent Bit, OpenTelemetry, custom tracing backends, and monitoring solutions, vulnerability management, and compliance processes
GenAI Development
Built GenAI OS for declarative and highly controllable AI agents, full runtime stack including vector search, RAG, task and tool orchestration
Enterprise Integration
Azure Entra ID, OAuth, Microsoft 365/SharePoint connectors, Azure Webapps, and secure enterprise integrations
Sprachen
DeutschMutterspracheEnglischverhandlungssicher
Projekthistorie
Built a GenAI OS for declarative and highly controllable AI agents from infra to UI. Conducted research and development to underpin the vision of replacing legacy point and click workflows via Chat/Vibes. Architected the foundation for a SaaS via GCP-CE, GCP-Loadbalancer, GCP-Bucket and FE version as core of an AI platform.
Increased cloud-event processing throughput by 10x and reduced to <5ms p99 by re-architecting the event engine. Implemented secure enterprise integrations and developed core components for an ABAC policy-enforcement system designed for 1,000+ users.
Planned and executed the migration of a laboratory database and developed pipelines for the migration of 300+ GB of raw data. Established a vulnerability management process, ensuring compliance with the company policies. Upgraded system monitoring, optimized Kubernetes manifests, and Docker files to improve root cause analysis.