115 Platform Engineer jobs in Germany available for remote work from home. Apply for positions such as Platform Engineer, Platform Engineer — Senior, AI Platform Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will operate and improve AWS infrastructure, including networking, compute, and databases, while managing Terraform codebases and EKS clusters. Additionally, you will participate in on-call rotations, automate operational tasks, and collaborate with development teams to ensure platform reliability and security.
You will design, build, and operate cloud-native Kubernetes platforms while collaborating directly with client engineering teams. You are responsible for maintaining platform reliability, implementing infrastructure as code, and establishing self-service paths for delivery engineers.
You will own the infrastructure and platform engineering for a shared enterprise AI Hub used by over 55 portfolio companies. This includes managing integrations, deployment tooling, release qualification, and providing technical guidance to local AI Champions.
You will lead the transition of the platform from a desktop application to a containerized, server-hosted product. This involves building CI/CD pipelines, managing on-premise deployments, and integrating AI-native capabilities into the platform.
Design, develop, and maintain robust backend APIs including payment, subscription, and authentication services. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise client needs.
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The role involves designing, developing, and maintaining robust backend services and APIs, including payment, subscription, and authentication systems. You will also collaborate with cross-functional teams to align backend architecture with product strategy and enterprise client needs.
Design, develop, and maintain robust backend APIs including payment, subscription, and authentication services. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise client needs.
The role involves designing, developing, and maintaining robust backend APIs for services such as payments, subscriptions, and text-to-speech. You will also collaborate with cross-functional teams to align backend architecture with product strategy and enterprise integration needs.
You will lead the architectural evolution of the core platform, ensuring coherence across execution, infrastructure, and frontend systems. You will also mentor engineering teams and define technical standards to support scalable, reliable, and configurable platform foundations.
You will lead the platform engineering group by managing application-level developer experience and building robust data platform infrastructure. This role involves automating data quality checks, optimizing analytics layers, and mentoring engineering squads to improve delivery speed and system reliability.
You will build and maintain the shared Agentic Platform, including retrieval pipelines, remote agent management, and internal MCP servers. Additionally, you will establish standards for AI governance, observability, and evaluation while mentoring teams on AI tooling adoption.
Design, develop, and maintain robust backend APIs including payment, subscription, and text-to-speech services. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise client needs.
You will develop and operate scalable cloud-native platforms using Kubernetes and Infrastructure as Code to support engineering teams. Additionally, you will build modern CI/CD pipelines and maintain API infrastructure to ensure high performance, reliability, and security.
You will be responsible for the operation, stability, and strategic development of the Kubernetes platform. Additionally, you will design and optimize GitOps processes and manage multi-tenant architectures for various customer environments.
Design, develop, and maintain robust backend APIs including payment, subscription, and authentication services. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise client needs.
You will design and maintain an internal AI provisioning platform to enable the scaling of generative AI applications. Additionally, you will implement observability, governance, and security measures to ensure performant and cost-effective AI workflows.
You will design and maintain the internal AI provisioning platform to enable the scaling of generative AI applications. This includes implementing observability, ensuring model governance, and supporting cloud-native agentic workflows.
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You will build the digital backbone for an AI-native software development lifecycle and create standardized golden paths for human and agentic development. Additionally, you will design and maintain resilient, scalable cloud infrastructure while ensuring continuous and safe software releases.
Design, implement, and operate a cloud-native platform architecture using Go and Kubernetes. Focus on optimizing cloud infrastructure for performance and reliability while improving observability and automation tooling.
Lead the technical direction of complex software projects and develop modern cloud platforms. Collaborate with the Product Owner to translate functional requirements into secure, robust, and economical technical solutions.
Design and implement secure, scalable cloud building blocks and automation to enable developers to ship software reliably. Collaborate with cross-functional teams to optimize microservices performance, security, and cost-efficiency using AWS and CI/CD tooling.
Design and maintain the foundational infrastructure and internal provisioning platform for generative AI applications. Focus on ensuring seamless model access, observability, security, and cost-effective LLM-driven workflows.
Build the infrastructure, tools, and guardrails to enable engineers to integrate AI agents into their software development lifecycle. Focus on ensuring AI-generated code is reliable through automated quality checks and systematic engineering processes.
Design and maintain the foundational infrastructure and internal provisioning platform for generative AI applications. Focus on ensuring seamless model access, observability, security, and cost-effective LLM integrations.
Design, deploy, and operate Linux-based infrastructure and virtualization platforms to support development and production environments. Automate provisioning and configuration tasks while ensuring platform reliability, scalability, and security.
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Act as a proactive partner to development teams by delivering value-driven platform solutions and maintaining critical services like GitLab, Vault, and Datadog. Focus on simplifying the developer experience through tools like Backstage and implementing custom features in Go and Typescript.
Act as the link between development and IT operations to automate and optimize build, test, and deployment processes. Develop and maintain the container platform and infrastructure as code to ensure stable and reproducible roll-outs.
The role involves the administration, operation, and tuning of distributed messaging platforms like Kafka and RabbitMQ. It also includes managing Apache Spark workloads and implementing governance, security, and monitoring practices for data environments.
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