Platform Engineer

• Designing and implementing end-to-end solutions across the entire Power Platform, including agentic AI with Copilot Studio
• Developing multi-agent solutions, Copilot Studio agents (formerly Power Virtual Agents), Canvas apps, cloud flows, desktop flows, Dataverse artifacts, AI Builder components, business process flows, and model-driven apps
• Making architecture decisions and providing technical leadership in complex enterprise projects
• Establishing and expanding Power Platform capabilities at our clients
• Identifying automation opportunities and efficiency improvements in existing business processes
• Integrating the Power Platform with Microsoft 365, Azure, and third-party systems
• Establishing best practices, governance models, Centers of Excellence, and ALM processes
• Mentoring and knowledge transfer within the team and with clients
• Continuously monitoring new Microsoft-stack features and assessing them for client use

Senior Full-Stack Engineer – Power Platform, Copilot Studio

• Design, build and maintain platform infrastructure using Infrastructure as Code (IaC) principles with tools such as Terraform.
• Develop memory services, vector storage patterns, and semantic search capabilities.
• Design secure access patterns for agents to governed enterprise data, including Databricks, and integrate guardrails for allowed tools and data sources.
• Operate and evolve a Kubernetes-based platform for the Data & AI department, enabling deployment, management, and scaling of services following GitOps practices.
• Build observability capabilities covering agent execution, performance, reliability, cost signals, and operational health.
• Collaborate closely with other engineering, DevOps/MLOps, SRE, security, and product teams to define platform standards and improve developer self-service.
• Participate in architecture discussions, propose improvements, and drive adoption of platform engineering best practices.
• Stay current with emerging technologies in the cloud-native, AI platform, and agentic AI ecosystem to continuously improve the platform.

Senior Platform Engineer

• You'll build and operate our internal developer platform: the core services, APIs, and infrastructure that every product team builds on top of. That means writing software, not just configuring it, and standing up infrastructure that holds up under real production load.
• You will be a part of a team that designs, develops, and operates the core services, APIs, and infrastructure that every product team builds on top of. Examples: building a billing API, maintaining Kubernetes operators, building an authentication broker, optimizing performance in our core monolith, and improving security in our link shortening service.
• You will regularly partner with product teams to investigate issues, learn their use cases, and ship platform changes that hold up in production.
• You'll join our on-call rotation as part of our "you build it, you run it" philosophy.
• You'll have real room to drive cost and reliability initiatives that have measurable, company-wide impact.
• You'll build the automations that make our whole software development lifecycle faster and more robust.

• Design and evolve the frontend platform foundations that power n8n’s workflow-building experience.
• Enable product engineers and the open-source community to ship complex, reliable, and high-performance user experiences across cloud and self-hosted deployments.
• Take ownership of core frontend platform domains and help shape the architecture behind one of the most flexible automation products in the market.
• Own and evolve core frontend platform primitives that make n8n’s workflow builder scalable, extensible, and maintainable.
• Strengthen platform contracts such as plugin systems, extension points, and frontend developer experience.
• Help modularize a large, evolving frontend codebase so product teams can build confidently on top of shared foundations.
• Work on the architecture behind n8n’s canvas-based workflow building experience.
• Build and improve real-time collaboration capabilities using approaches such as WebSockets, CRDTs, or multiplayer synchronization patterns.
• Design frontend systems with correctness, accessibility, and user experience in mind, especially for complex interactive workflows.
• Improve rendering performance, runtime behavior, and responsiveness across complex workflow-building experiences.
• Use performance measurement, profiling, and optimization techniques to identify bottlenecks and improve user experience.
• Contribute to web worker orchestration and other frontend infrastructure that helps n8n scale to more complex use cases.
• Drive technical decisions through clear proposals, RFCs, and collaborative engineering discussions.
• Partner closely with product engineers, QA, DX, Security, Staff Architects, and the open-source community to ensure platform changes integrate smoothly.
• Support peers through code reviews, pairing, mentoring, and knowledge sharing.

Senior Frontend Platform Engineer

• Run and evolve our Kubernetes landscape (Amazon EKS, plus on-prem clusters via Rancher). Every deployment at Yazio lands on what you operate
• Automate deployment and scaling until releases are a non-event, and guide engineering teams in getting the most out of that automation
• Build out observability so you spot problems before users notice them: metrics, dashboards, alerting
• Dig into infrastructure-level incidents and turn what you find into fixes that stick
• Design the abstractions that let Backend and Data Engineers ship without opening a ticket
• Have a real say in our shift away from the remaining self-hosted infrastructure: what moves to the cloud, what stays and what gets automated away

• Deine Arbeitszeiten selbst bestimmen
• von zuhause aus arbeiten (remote)
• den nächsten Schritt in Deiner Karriere gehen und lernen, wie man Teams leitet und ein Unternehmen führt
• einen Arbeitgeber, der Dich leistungs- und ergebnisorientiert bezahlt

Platform Engineer – Karriereambitionen

• Own data pipelines end to end: design, build, run, monitor, and troubleshoot.
• Build and maintain Apache Airflow workflows.
• Develop dbt models in Redshift, including incremental strategies and data quality tests.
• Design and build lake-layer pipelines.
• Manage cloud infrastructure and configuration.
• Maintain CI/CD pipelines with secure cloud authentication.
• Investigate and resolve production incidents using monitoring and alerting effectively.
• Follow the typical new source flow end to end.

Senior Data Engineer – Data Platform

• As an AI Platform Engineer, you will be a key architect of the software and systems that empower our AI-driven initiatives.
• More than just managing infrastructure, you will be actively building the cohesive, end-to-end platform that enables our teams to develop, deploy, and scale applications rapidly.
• You will engineer robust backend services, create internal tools, and design the automated workflows that form the foundation of our AI capabilities.
• Develop Core Platform Services: Design, build, and operate the backend services and APIs that serve our AI models and manage the ML lifecycle.
• Develop the Data Ingestion Platform: Design, build, and maintain the services and automated workflows responsible for populating our vector and graph databases, ensuring our AI applications have access to timely and accurate data
• Build Full-Stack Tooling: Create user-facing tools and internal dashboards that allow developers, data scientists and managers to interact with the AI platform.
• Own the Application & Model Lifecycle: Implement and maintain the core platform components and ensure the performance of production systems.
• Collaborate and Enable: Work closely with software and data science teams to understand their needs, gather requirements for the platform, and provide the tools and support that accelerate their work.

AI Platform Engineer

• You will ensure that meshStack is integrated seamlessly into existing enterprise architectures — performant, secure, and scalable.
• Design and implement integrations between meshStack and enterprise systems such as IAM, ITSM, SIEM, or governance tools
• Develop custom extensions as well as reusable building blocks
• Use Infrastructure as Code (e.g., Terraform / OpenTofu) to implement production-critical setups in cloud environments
• Structure integration projects and take end-to-end responsibility for scope, delivery, and quality
• Collaborate closely with platform teams and cloud architects on the customer side
• Ensure maintainability, documentation, and scalability of integrations
• Abstract customer-specific solutions into generic patterns
• Develop best practices for integrations and provide structured feedback of requirements to the product team
• Develop structured annual and project plans with the customer

Lead Platform Engineer – Customer Success

• Design, implementation and operation of scalable, highly available PostgreSQL or Oracle platforms for modern data and analytics use cases
• Planning and execution of complex database migrations, e.g., from on-premises to cloud (e.g., Azure, AWS, or GCP), between hyperscalers, or from legacy systems to PostgreSQL platforms
• Automating the entire database lifecycle (IaC, GitOps, CI/CD) in line with a "Database as a Service" approach
• Technical leadership role focusing on observability, reliability, governance, and best practices across teams

Database Platform Engineer

• Management and further development of the Microsoft Entra ID / Azure AD environment, including SSO, Conditional Access, MFA, user lifecycle, and license management.
• Administration and configuration of Jira, Confluence, GitHub, GitLab, and Microsoft 365.
• Implementation of access controls, RBAC policies, and audit trails to support security and compliance standards.
• Automation of recurring tasks such as user provisioning, license assignment, and policy enforcement using scripting or Infrastructure as Code.
• Monitoring platform availability, setting up alerting, and proactive problem resolution.
• First point of contact for internal IT and tooling inquiries.
• Support for vendor, SaaS, and license management.

Platform Engineer – Identity & Access Management, Azure/Entra ID

• You build out the cloud and infrastructure for a production-grade platform
• You introduce new cloud components for persistence, monitoring, and security
• You establish a resilient operations foundation with logging, observability, and CI/CD pipelines
• You provision cloud resources consistently and maintainably using Infrastructure as Code
• You prepare technical foundations for robust artifact management and controlled audit access
• You make well-founded technical decisions and surface risks early
• You drive larger topics pragmatically into viable implementations

Senior Platform Engineer, Cloud & Infrastructure

• Mature the foundations of our Snowflake-based platform — clean SLOs, deeper observability, stronger reliability practices — so we can build confidently on top
• Design and ship the infrastructure for real-time and near-real-time feature serving, including training–serving consistency and feature freshness guarantees
• Set the platform engineering standards: SLAs, monitoring, incident practices, cost discipline. The bar you set becomes the bar the team operates to
• Partner with Pete and the Analytics team to draw clean ownership boundaries — Analytics owns "what & why" for features, you own "how & at what scale"
• Grow the team from two to roughly four engineers over the next 12 months, hiring against the bar you've set
• Run the day-to-day: planning, RFCs, incident response, technical mentorship. Hands-on where it counts

Lead Data Platform Engineer

• Administer and maintain globally distributed firewall solutions to ensure seamless functionality and resolve issues promptly.
• Take charge of implementing infrastructure changes, managing lifecycle updates, and safeguarding firewall security and performance.
• Play a key role in integrating new systems, securing internet access via proxy services, and monitoring compliance.
• Dive into security investigations, address incidents, research emerging threats, and apply effective remediation strategies.
• Contribute to the planning, development, and deployment of new security tools while ensuring compliance with IT security regulations and keeping documentation up to date.

Platform Engineer – Network Security

• Serve as the Tier 3 escalation point, resolving complex incidents from 2nd‑line operations and Service Managers to minimise business impact
• Translate platform architecture and service strategies into robust technical configurations and deployments across global projects
• Build and operate automation and API integrations; use monitoring, AIOps and observability to anticipate and resolve performance issues
• Create and maintain low‑level designs, automation playbooks, SOPs and standardised configuration templates to drive consistency
• Modernise and harden Knauf’s global network estate—covering hardware refresh, configuration management, SD‑WAN rollout, and secure‑by‑design controls including NAC compliance

Platform Engineer jobs in Germany

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Senior Full-Stack Engineer – Power Platform, Copilot Studio

Senior Platform Engineer

Platform Engineer

Senior Frontend Platform Engineer

Senior Platform Engineer

Platform Engineer – Karriereambitionen

Senior Data Engineer – Data Platform

AI Platform Engineer

Lead Platform Engineer – Customer Success

Database Platform Engineer

Platform Engineer – Identity & Access Management, Azure/Entra ID

Senior Platform Engineer, Cloud & Infrastructure

Lead Data Platform Engineer

Platform Engineer – Network Security

Global Network Platform Engineer