Devops állások, munkák

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....

• Application And Process Ownership Across Lifecycle
• Primary IT Point Of Contact Between Business Users, Product Owners, Manufacturing Sites, And IT Functions
• Ensuring Applications Meet Operational, Compliance, And Performance Expectations

• Elosztott rendszerek, mikroszervizek és felhőalapú infrastruktúrák teljes körű observability-jének kiépítése
• Teljesítmény, elérhetőség és stabilitás javítása cutting-edge eszközökkel és módszertanokkal
• Nagyvállalati környezetben előforduló problémák feltérképezése, hibakeresés és dokumentáció

Senior IT Product Manager Senior IT Product Manager (m/f/d) - Product Management / Product strategy / Service now / Agile Project: For our client based in Basel, we are looking for a Senior IT Product Manager (m/f/d). Background: The role involves leading cross-functional initiatives, mentoring...

• Elemzés követelmények és megoldástervezés
• Teszttervek készítése
• Tesztfolyamatok kialakítása
• Elfogadási kritériumok létrehozása minden tesztelési szakaszra
• Tesztesetek és tesztszcenáriók előkészítésének és végrehajtásának támogatása

• Setting technical direction across teams
• Driving AI-native and cloud-native architecture and long-term system evolution
• Leading design of secure, scalable MCP hosts and AWS microservices
• Balancing performance, reliability, and cost in system design

• Design, implement, and operate enterprise data platforms across on-premise, IaaS, PaaS, and SaaS environments
• Support and troubleshoot Cloudera Data Platform (CDP) environments, including upgrades and migrations

Customer-Focused Outcomes: As a Senior SAP AI Engineer (f/m/d), you will be a key driver of customer value delivery, translating SAP AI architectural blueprints into fully functional, scalable, and production-ready solutions. Specifically, you will:...

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Leverage AI tools to accelerate coding, debugging, testing, and prototyping

• Designing Applications To Meet Business Process And Application Requirements
• Building Applications To Meet Business Process And Application Requirements
• Configuring Applications To Meet Business Process And Application Requirements
• Subject Matter Expertise

• You are responsible for the operation and continuous development of our central AWS platform, as well as for the administration of AWS accounts within our Landingzone.
• With your know-how and experience, you support and advise product teams in detail during architecture and code reviews.

• Leading and growing a cross-functional engineering team combining developers and QA engineers
• Collaborating closely with Product Managers and Designers to shape features from ideation to delivery focusing on usability, performance, and customer value

• Participation in partner projects building end-to-end web solutions from UI to backend
• Leadership and contribution to development efforts across the full stack supporting technical decision-making
• Design and implementation of web applications using modern frameworks and best practices

• Governance and definition of operational, high-performing solutions aligned to enterprise vision and goals
• Ensuring transparency throughout the SAP landscape
• Industrialization of implementations through well defined templates

• Troubleshooting and resolving advanced issues related to iREMS software
• Providing advice and expert knowledge by email, chat, and web channels
• Working closely with Product Development and DevOps to diagnose problems and deliver solutions
• Liaising with the software development team

• Komplex rendszer fejlesztése
• Webes alkalmazások lekérdezéséhez tartozó fejlesztői feladatok

• Quality engineering strategy definition and driving across software development lifecycle
• Design and evolution of metrics-driven quality frameworks
• Establishment of automation-first quality practices

• Quality engineering strategy definition and driving across the software development lifecycle
• Design and evolution of metrics-driven quality frameworks
• Establishment of automation-first quality practices

• Building secure, scalable serverless microservices and AI-powered features using TypeScript and React on AWS for the Risk Manager platform
• Owning and delivering well-defined stories independently with a clear grasp of team architecture, frameworks, and tools

• Design, develop, and maintain scalable data pipelines in cloud and hybrid environments
• Contribute to the architecture of enterprise data platforms with a system-oriented mindset
• Work with large-scale datasets using SQL, Spark, and cloud-native tools