86 Platform Engineer jobs in Germany available for remote work from home. Apply for positions such as Platform Engineer, Platform Engineer, Software Engineer, Platform - Munich, Germany and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will design and build cloud-native platforms using modern CNCF technologies while advising clients on efficient cloud services and automated deployment processes. Additionally, you will actively promote automation and foster a DevOps culture within agile, cross-functional teams.
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.
The Platform team is responsible for building and maintaining backend services including payments, analytics, and external APIs. You will design and optimize robust APIs while collaborating with cross-functional teams to align backend architecture with product strategy.
The Staff Platform Engineer will lead the technical strategy and architecture for AI/ML infrastructure, ensuring scalable and reliable cloud platforms for generative AI applications. They will define platform standards, mentor engineering teams, and drive operational maturity across multi-environment deployments.
You will lead the development of a unified platform core by extracting shared capabilities from existing products to improve scalability and efficiency. This role involves setting technical standards, mentoring a distributed engineering team, and ensuring robust system architecture across multiple enterprise clients.
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You will own the end-to-end release process and infrastructure, ensuring fast, safe, and repeatable deployments. Additionally, you will build internal developer tooling and guardrails to empower product teams to operate their own services efficiently.
You will be responsible for the administration, operation, and continuous development of OpenShift container platforms. Additionally, you will implement GitOps processes and manage infrastructure as code using Terraform in Microsoft Azure.
You will lead the migration of legacy virtualization to a modern, highly available OpenStack-based private/public cloud infrastructure on bare-metal hardware. Additionally, you will implement AI-driven operations to establish a self-healing, highly automated infrastructure.
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.
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 CI/CD pipelines and Infrastructure-as-Code landscapes using Terraform and Terragrunt. Additionally, you will manage Azure cloud infrastructure, ensure platform security, and support development teams with automation and platform operations.
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.
The AI Platform Engineer will build and operate platforms for deploying, monitoring, and maintaining production AI models and services. They will collaborate with cross-functional teams to ensure AI capabilities are safely and consistently delivered into production workflows.
The Platform team is responsible for designing, developing, and maintaining robust backend services including APIs, payments, and subscription systems. You will collaborate with cross-functional teams to align backend architecture with product strategy and enterprise client needs.
You will define and implement the security architecture for the Azure cloud environment, including identity hardening, network security, and policy guardrails. Additionally, you will collaborate with platform teams to integrate security controls as code and ensure secure migration of workloads.
You will design and evolve core platform services, internal APIs, and control-plane components to support enterprise-grade deployments. Additionally, you will focus on reducing operational complexity and improving developer productivity through platform abstractions and architectural initiatives.
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You will design and evolve core platform services, internal APIs, and control-plane components to support the company's managed cloud offering. The role focuses on building platform abstractions that reduce operational complexity and improve developer productivity across engineering teams.
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.
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 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.
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.
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.
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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.
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, 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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