Software development engineer állások, munkák XXIII. kerületben

• 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

• Windows 10/11 munkaállomások üzemeltetése
• Szoftverterítések és patch menedzsment (ManageEngine)
• Active Directory / Entra ID felhasználói és jogosultságkezelés
• Végpontvédelem és jogosultságkezelés: Cisco AMP, CyberArk EPM
• VPN-ek támogatása (Cisco AnyConnect, F5 BIG-IP)

• Design and run Kubernetes environments optimized for AI inference, retrieval, experimentation, and agent execution in secure or isolated settings
• Deploy and operate open-source or open-weight model stacks, model gateways, vector databases, and supporting platform components

• Design and maintain automated CI/CD pipelines
• Automate provisioning and management of infrastructure using Infrastructure as Code tools
• Manage health and performance of mission-critical applications
• Implement advanced monitoring, logging, and tracing for legacy and modern services

• Building and maintaining Power Apps and Power Automate solutions
• Creation of automated workflows that improve customer and business processes
• Testing, validation, and troubleshooting of low-code applications
• Documentation of solution designs, business requirements, and user guides

• Building and operating Kubernetes platforms on Open Telekom Cloud
• Managing Infrastructure as Code with Terraform and Terragrunt
• Implementing GitOps delivery using ArgoCD
• Operating PostgreSQL and Apache Kafka on Kubernetes
• Integrating security controls into CI/CD pipelines

• 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

• Architect cloud-native AI applications integrating LLMs vector search and real-time data
• Design end-to-end web solutions from frontend to backend
• Implement RAG pipelines model serving and AI agents in production
• Lead cross-functional teams (Full-stack AI Data)

• Lead the design and implementation of scalable data pipelines and Lakehouse architectures
• Act as the design authority
• Solve the hardest technical challenges including optimizing high-load streaming pipelines, debugging complex Spark jobs, and designing generic frameworks

• Support KPI governance across core supply chain metrics including Inventory Above/Below Entitlement, Slow-Moving Inventory, End-of-Life Inventory, Delivery, and Quality
• Refresh, validate, and prepare data required for the monthly governance cycle

• Setting up and maintaining databases for payment systems
• Maintaining, monitoring and supporting production and development of databases and environments
• Monitoring and troubleshooting database integrity, performance, blocking and deadlock, replication/log shipping, connectivity, and security issues

Process Oversight: Support the planning, implementation, optimization, and measurement of business processes to drive operational excellence....

• Design, develop, review, and test features and user stories following Agile development practices
• Contribution to core platform development and integration projects across multiple systems
• Shaping the future architecture of the product including designing scalable backend services and prototypes

• Partnership with GBS Operations leadership and Global Process Owners to prioritize digital initiatives
• Oversight of digitalization efforts for SSC workstreams (R2R, P2P, Customer Care, O2C)
• Partnership with Global Process Owners to drive development pipeline for workstreams

• Building AI-assisted development workflows for code understanding, documentation, build triage, and handover preparation
• Implementing workflow utilities, prompt packs, repository analysis scripts, documentation helpers, and integration adapters

• Analysis of report and dashboard requirements considering needed input data and preparation of output data
• Creation of information design and information architecture of the dashboard and reporting solutions
• Development of report and dashboard solutions

• Active involvement in the software design and test of reference application processor firmware
• Low level software development, test and debug on various platforms including software models, development boards and shipping products

• Building and leading a high-calibre Product & Engineering function with strong technical credibility and operational judgement
• Hiring, developing, and aligning engineering leaders and specialists across sports and disciplines within Performance & Insights

• Measuring performance of multi-channel patient recruitment campaigns
• Optimizing multi-channel patient recruitment campaigns
• Forecasting performance of multi-channel patient recruitment campaigns
• Translating recruitment data into actionable insights
• Accelerating enrollment
• Reducing site burden

• Design, develop, and maintain software for client projects with iOS applications
• Explore and test new technologies
• Create demo or prototype applications
• Identify and implement innovative solutions