Platform engineer állások, munkák Németországban

You take strategic ownership of an AI Moderation Layer as a hardened platform service: define architecture standards, security policies, SLAs/SLOs, and ensure global scalability and integration with AI platform services....

• You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.
• Additionally, you support the entire AI lifecycle – from data preparation through development and training to the productive operation of machine learning and generative AI solutions.

• Work on design, coding, and quality assurance tasks related to specific product features.
• Build reliable, production-ready platform capabilities and help drive engineering quality across the team.
• Development activities in Java, Python, and Go, with Rust as a plus.

• Develop and Implement: Build and maintain platform solutions that improve the reliability, security, and scalability of our Database Platform infrastructure.
• Operational Excellence: Apply cloud infrastructure, networking, and CI/CD best practices to support our operational data storage solutions.

• Design, implement, and evolve our Zscaler setup used globally across E.ON
• Support in building and maintaining infrastructure as‑ code modules (OpenTofu‑/Terraform) to automate platform rollout, policy deployment, and lifecycle operations

• Design and implementation of Identity and Access Management (IAM) solutions within the product team "SAP IDM/GRC"
• Integration of the existing SAP IDM/GRC solution with other corporate applications and infrastructures focusing on modern SAP applications

• Design necessary data models and transformations to curate raw data.
• Develop, optimize and maintain existing data models, pipelines, and transformations to support analytics, reporting, and AI use cases such as but not limited to curating, transforming, annotating and modeling data.

• Collaborate closely with your Tech Lead on architecting new features and seeing them through to completion.
• Design, develop, test, deploy and maintain software in a thriving environment.

• Design, operate and continuously improve the infrastructure for our SaaS solutions.
• Supporting and evolving our service orchestration platform based on HashiCorp Nomad and Consul.
• Manage configuration, patching and lifecycle of operating systems, middleware and services.

• Design, build, and maintain build a secure and performant unified Edge platform for all partner-facing and customer-facing traffic.
• Bring a strong engineering perspective to the team, helping to instill software design best practices, scalable system architecture, and high-quality code standards.

• You design and implement a cloud-native, multi-tenant and secure asset monitoring platform for distributed fiber optic sensing solutions
• You build robust, secure and observable platform components, data models, interfaces and APIs

• Manage and scale our Teleport infrastructure for secure access to servers, databases, and Kubernetes clusters.
• Develop and maintain automated Identity and Access Management (IAM) workflows within AWS.
• Implement and improve Just-In-Time (JIT) access solutions to reduce our permanent attack surface.

Improve the reliability, scalability, performance, security, and cost-efficiency of the platform's microservices running on Kubernetes and AWS....

You design and operate knowledge graphs and graph databases that capture domain knowledge, toolchain topology, operational incidents, root-cause analyses and lessons learned – enabling graph-based retrieval across the organization....

• Build and operate the highly-available, scalable microservices that form the backbone of the SAP Business Technology Platform.
• Architect and implement the central API gateway, handling massive-scale traffic, security policies, and observability for all of SAP's cloud products.

• Programming (mostly) in Golang (Kubernetes Operators, REST APIs, libraries and tools)
• Designing solutions providing new features for our customers
• Develop and operate highly scalable cloud solutions

Cloud platform engineering: Develop and implement automation processes for the deployment and operation of cloud software and services using platform engineering, infrastructure as code (e.g., Terraform), and Kubernetes....

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases

• Democratize wealth: You will build a secure, real-time trading platform powering everything from Crypto and Stocks to ETFs and Managed Funds.
• High-stakes engineering: Operate at the thrilling intersection of high-speed trading and strict financial regulation where markets move fast.

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions