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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Platform Engineer - **Company:** Blockbrain GmbH - **Location:** Hamburg, Germany - **Experience:** Expert - **Salary:** €80,000.0 - €100,000.0 - **Contract:** Permanent contract - **Skills:** Abstraction Layers, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, DevOps, Github, Key Management, Octopus Deploy, Systems Development Life Cycle, Prometheus, TypeScript, AI Infrastructure, Google Cloud, Large Language Models, Grafana, Multi-Cloud, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Machine Learning Operations, Terraform, Devsecops, Microservices - **Published:** August 22, 2026 - **Apply:** https://www.adzuna.de/details/5833692403 ## About the Role * Strong understanding of LLM systems: You know how inference pipelines work and where they can fail in production. * AI infrastructure fluency: You are comfortable with model serving, RAG, embeddings, vector databases, and evaluation tooling. * AI as a daily co-pilot: You use AI tools to improve DevOps workflows, automate infrastructure work, and sharpen your technical output. We are not looking for AI researchers. We are looking for engineers who use AI as a serious technical multiplier. Your Profile * 7+ years of experience in platform, infrastructure, SRE, or DevSecOps roles, ideally with exposure to AI or ML systems in production. * Hands-on depth with Kubernetes, IaC, CI/CD, observability, and modern platform operations. * Strong security and compliance mindset with experience in environments shaped by ISO 27001, EU AI Act, or similar requirements. * Practical DevSecOps experience with threat modeling, secure SDLC, secrets management, and supply-chain security. * Comfortable in multi-cloud and on-prem environments and confident navigating AWS, GCP, Azure, and local setups. * Code-literate and confident reading, reviewing, and extending TypeScript microservices. * Clear communicator who can explain trade-offs, push back when needed, and handle occasional technical conversations with enterprise customers. * Pragmatic and self-directed, with the judgment to say no when something is not production-ready. ## Description You turn what the AI team builds into production-ready systems. You step in where architecture, scalability, security, or operations become real constraints, and make sure only what can withstand enterprise load and audit requirements reaches production. Working in the Frontier Team means operating at the newest edge of AI at Blockbrain. You'll be close to emerging technologies, fast-moving ideas, and early technical validation, while still making sure the outcome is solid enough for real enterprise use. You work closely with AI Engineering, Product, and Engineering to evaluate technical options, define the right infrastructure context, and build the platform patterns that let teams move fast without compromising reliability or compliance., * Review and harden AI systems: Evaluate new AI components, prototypes, and tooling proposals, and turn them into production-ready systems. * Make architecture decisions: Define the right model serving setup, deployment patterns, workload isolation, and abstraction layers. * Own our platform footprint: Run and evolve our multi-cloud and on-prem environments across AWS, GCP, Azure, and customer-hosted setups. * Operate the Kubernetes stack: Work with Kubernetes, ArgoCD, Terraform, GitHub Actions, Prometheus, and Grafana to keep the platform scalable and observable. * Build secure runtime patterns: Create sandbox, runtime, and isolation patterns that help AI engineers move fast without breaking compliance. * Embed DevSecOps practices: Bring threat modeling, secure SDLC, secrets management, and supply-chain security into the delivery process. * Enable LLM infrastructure: Support model serving, vector stores, RAG systems, inference scaling, GPU orchestration, and observability. * Extend core services when needed: Read, review, and extend TypeScript microservices and APIs to secure, scale, or unblock technical work., * Flexible Work Models: Full-time position on-site in Hamburg (3 days per week) with flexible working hours. * Benefits: Deutschland-Ticket, Wellpass fitness membership, access to the latest AI tools, and regular company and team off-sites. * Top Team: International team with exceptional talents. * High Growth Potential: Steep learning curve in a fast-growing AI startup. A high level of personal responsibility and the freedom to actively shape processes. * Top Equipment: MacBook, iPhone, headset, and all the tools you need to perform at your best. Blockbrain is an equal opportunity employer. We celebrate diversity and are committed to an inclusive work environment. ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [#90DaysOfDevOps - The DevOps Learning Journey](https://www.wearedevelopers.com/videos/548-90daysofdevops-the-devops-learning-journey) - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) ## Related Articles - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)