Devops állások, munkák

• Working within a Scrum team focused on maintenance and developing high-quality web applications with automated integrated pipelines
• Digging deep into complex challenges and exploring and implementing innovative solutions

• Design/build AI-ready Lakehouse architectures (Databricks, Fabric) and data pipelines for analytics/ML
• Develop financial data models (Data Vault 2.0) with governance (Purview, Unity Catalog)
• Architect AI infrastructure: Cognitive Search, RAG, vector DBs, knowledge graphs for agentic AI

• Design, deploy, and manage scalable cloud and hybrid infrastructure environments with a primary focus on automation, reliability, and security
• Build and maintain Infrastructure-as-Code solutions using Terraform and other automation tools to provision and manage AWS and on-premises resources

• Alkalmazások üzemeltetése virtualizált szerverkörnyezetben
• Alkalmazások továbbfejlesztése virtualizált szerverkörnyezetben
• Komplex rendszerkörnyezet adminisztrációja és optimalizálása Linux és Microsoft technológiákkal
• Alkalmazások biztonságos és hatékony éles környezetbe juttatása
• Hibák elemzése

• CI/CD pipeline-ok kialakítása, fejlesztése és karbantartása
• Deployment és release folyamatok automatizálása
• Cloud infrastruktúrák üzemeltetése és optimalizálása
• Konténerizált környezetek kezelése (Docker, Kubernetes/OpenShift)
• Monitoring, logging és alerting rendszerek kialakítása és üzemeltetése

• Design and implement cloud-based application architectures based on Microsoft 365
• Build and optimize Dev-Test-Int-Prod deployment pipelines using Azure DevOps
• Develop enterprise applications using PowerApps (Model-Driven and Canvas Apps)

• 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.

• Design, implement, and manage Azure cloud infrastructure to support Databricks and data platform workloads
• Build and maintain Azure resources including Resource Groups, VNets, Key Vaults, Storage Accounts, and Azure Active Directory (AAD) integrations

You ensure reliable operation and continuous improvement of our digital e-mobility products, as part of a cross-functional team, by shaping and advancing operational excellence across IT systems and applications...

• Design and develop a shared authentication SDK using Kotlin Multiplatform (KMP)
• Implement secure OAuth 2.0 and OpenID Connect (OIDC) authentication flows
• Develop modern and scalable user interfaces using Jetpack Compose
• Implement mobile security best practices including hardware-backed key management

• Design and own end-to-end solution architecture across distributed systems and cloud environments
• Translate business requirements into scalable technical solutions with clear articulation of trade-offs

• Support technical due diligence and transition readiness using AI-assisted software engineering methods
• Analyse large software repositories to map services, dependencies, interfaces, build flows, and technical risks

• Design and develop cloud-native application architectures using Microsoft 365 technologies
• Develop and maintain PowerApps applications for enterprise use cases
• Design and implement Power Automate workflows to orchestrate business logic and automate cross-platform processes

• End-to-end felelősség cloud és on-premise / private cloud platformok architektúrájáért
• Cloud platformok (AWS, Azure, T Cloud Public) tervezése és fejlesztése
• Kubernetes-alapú üzemeltetési és deployment megoldások kialakítása
• Shared és managed service architektúrák megtervezése és továbbfejlesztése

• Development and maintenance of the data platform’s infrastructure using Terraform
• Implementation and management of CI/CD pipelines for automation of data and AI processes and pipelines
• Automation of provisioning, configuration, and monitoring of resources in AWS

• 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
• Collaborating and managing the team to perform effectively

• Implementation and maintenance of large-scale data pipelines and the Azure/Databricks data platform
• Building robust, scalable pipelines using Azure Databricks (PySpark / SQL)
• Design and enforcement of data architecture standards including Delta Lake / Lakehouse architecture and data modeling

• Work with an agile mindset and according to agile methodology
• Collaboration within the team, with other teams in the Domain and Deutsche Telekom, and with software engineers using the cloud platform
• Approach work with a DevOps and continuous improvement mindset

• Ensure reliability and uptime of our production systems (Kubernetes, networks, storage)
• Automate infrastructure using Terraform, Ansible, Puppet, etc.
• Operate and evolve monitoring and observability with Prometheus, Grafana, Loki, Cribl.io

• You are part of a team who is responsible for the global infrastructure services (planning, design, installation and administration)
• You ensure the proper service delivery of the entitled end to end services (network infrastructure, Storage, Server, VM, interfaces, …)