Docker állások, munkák programozó, fejlesztő kategóriában

• Development and implementation of CoreMedia-based content management systems for web projects
• Integration and optimization of Deutsche Telekom interfaces and services into CoreMedia-based systems
• Technical planning, system architecture and execution of complex software projects

• Designing and developing Java-based backend microservices
• Building scalable distributed systems
• REST and event-driven communication
• Network provisioning and orchestration workflows
• PostgreSQL modeling and optimization
• CI/CD pipelines and containerized environments
• Kubernetes / Docker infrastructure

• Designing and developing Java-based backend microservices
• Building scalable distributed systems
• REST and event-driven communication
• Network provisioning and orchestration workflows
• PostgreSQL modeling and optimization
• CI/CD pipelines and containerized environments
• Kubernetes / Docker infrastructure

• 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

• 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.

• AI-vezérelt delivery pipeline-ok tervezése és megvalósítása BPMN folyamatmodellekből
• AI-ügynökök építése és karbantartása a fejlesztési életciklus ismétlődő szoftvermérnöki feladatainak automatizálására

Drive Architectural Strategy & Scalability: Partner across Data Science, Platform Engineering, and Product teams to design the technical architecture, data pipelines, and orchestration systems required for high-traffic AI services. Ensure the ecosystem supports highly available, low-latency...

• 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.

In this role, you will take part in designing and developing robust, scalable services and APIs, working primarily with technologies such as GO and Java. You will be responsible for building and evolving distributed systems, improving system performance, and ensuring reliability in production...

• Design and implement backend services and APIs
• Develop new features together with Product Owner and Architects
• Optimize performance, scalability and security
• Write unit and integration tests
• Review merge requests and ensure coding standards
• Troubleshoot incidents and perform root cause analysis

• Design, implement, and maintain backend services using Java 25 and Spring Boot 4.1
• Evolve the existing modular monolith toward a cleaner hexagonal architecture
• Implement and secure OAuth 2.0/OIDC identity and access management flows and APIs
• Develop and maintain RESTful APIs and service interfaces

• Implementation and improvement of business objects for mobile network infrastructure in backend systems up to the API layer
• Development and maintenance of business objects including data models, backend logic, and APIs

• Tech Stack: Python (Django/FastAPI), PostgreSQL/TimescaleDB, Redis, Celery, Docker, AWS, GitLab CI/CD, Sentry, Grafana
• Your Focus: API design & architecture, backend integrations, data flows, system reliability and scalability

Build enterprise cloud infrastructure that provides European data sovereignty and hyperscaler-grade capabilities. You'll work on SAP Cloud Infrastructure, solving complex distributed systems challenges at scale: multi-region networking, container orchestration, storage systems, and the APIs that...

• Lead develop AI services from PoC to Production
• Lead the development of a best practice framework for AI development (both narrow and GenAI) for all dev streams and teams
• Lead the definition, evolution and drive the setup of infrastructure architecture for the AI applications we are building

• Active support for flashing and troubleshooting on remote Test Benches.
• Establishment of Test Benches for flashing and comprehensive testing purposes.
• Development of automation tools using Python, encompassing GUI and CLI applications.
• Preparation and delivery of ECU samples to designated Carlines

• Work with Product Line Leaders to understand product requirements and vision
• Translate requirements and vision into prioritized list of user stories and deliver to required timelines and quality standards

• Data pipeline development
• Data integration
• Data warehousing
• Data modelling
• Data quality and governance
• Performance optimization
• Collaboration with data scientists and analysts
• Technology selection
• Security and compliance
• Monitoring and troubleshooting

• CI/CD-folyamatok tervezése, felépítése és üzemeltetése (Azure DevOps, GitLab CI, GitHub Actions vagy Jenkins)
• Infrastruktúra kezelése kód formájában (Terraform, Bicep/ARM, Ansible)
• Konténeres környezetek felépítése és üzemeltetése (Docker, Kubernetes / AKS)

• Design, develop, and implement complex and scalable data solutions on the AWS cloud platform
• Design, build, and optimize data pipelines to ensure efficiency and reliability
• Write clean, efficient, and maintainable SQL and Python code
• Develop and maintain shell scripts to support automation