Cloud engineer állások, munkák it programozás, fejlesztés területen

• Writing and maintaining clean, high-quality, efficient and well tested code that aligns with project specifications
• Architecting and implementing key abstractions that bridge the gap between Software Engineering and DevOps

• Kommunikációs technológiákkal foglalkozás
• Ozeki on-premise AI megoldásokkal foglalkozás
• Mobilkommunikációs alkalmazásfejlesztés és tervezés
• Peer-to-peer alapú architectúrákkal foglalkozás
• Modern hálózati üzenetküldési módokkal foglalkozás
• Myozeki.com webes platform fejlesztése

• A QAD ERP és a projektmódszertani elemek alapos megismerése után bevezetési/verzióváltási projektekben veszel részt
• A projektnapok során felméred és megérted az ügyfelek logisztikai folyamatait, igényeit, tanácsot adsz számukra
• Szakmai kapcsolatot ápolsz partnereink projektbe bevont munkatársaival

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Architect and deliver AI/agentic product features including LLM integrations, multi-step agentic workflows, tool-use patterns, RAG pipelines, and intelligent automation

• Power BI riportok és dashboardok fejlesztése és karbantartása
• Üzleti igények elemzése és technikai megvalósítása
• Adatmodellek és adatvizualizációk kialakítása
• PL/SQL alapú lekérdezések, tárolt eljárások és adattranszformációk fejlesztése
• Adatminőség és riportok validálása

• Deep-dive analysis of operational workflows to identify bottlenecks and improvement opportunities
• Requirements gathering, business analysis, and documentation of functional and non-functional requirements

• Build and maintain scalable cloud infrastructures using modern services and best practices
• Proactive detection, analysis, and fixing of vulnerabilities and performance bottlenecks in cloud environments

• Design, build, and operate our Java-based Rendition Services
• Evolve scalable, secure, and reliable capabilities using modern cloud and distributed systems practices
• Improve system performance, resilience, and operability across multiple cloud regions

• Design and implement cloud security controls across AWS, Azure, and/or GCP
• Deploy and tune Cloud Security Posture Management and Cloud-Native Application Protection Platform tooling
• Build security into Infrastructure-as-Code and CI/CD pipelines

• Build and operate multi-cluster containerized environments across cloud platforms
• Create end-to-end CI/CD pipelines for cloud-native applications and machine learning workloads
• Lead cost-optimization and FinOps initiatives for GPU, storage and data-egress spend

Ownership and management of cloud-based research, sandbox, and development environments ensuring functionality, integration, availability, security, scalability, and compliance with enterprise standards...

• Design and implement security controls across identity (IAM/PAM, federation, conditional access), data (encryption, key management, classification), and network (segmentation, secure landing zones, WAF/CASB)
• Work on workload security — container security, serverless security, IaC scanning

• Operating and supporting several systems in Azure
• Designing and continuously improving monitoring, alerting, and logging
• Supporting incident handling including troubleshooting, root-cause analysis, and prevention
• Building operational automation such as runbooks and standardized procedures

• 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

• Taking on big operational challenges in hyperscale cloud backend
• Owning hands-on change implementation
• Conducting deep problem investigation and proactive fixes
• Working directly at the console and with hardware and tech powering the platform
• Joining project rollouts and helping launch new cloud features

• Taking on big operational challenges in hyperscale cloud backend
• Owning hands-on change implementation
• Deep problem investigation and proactive fixes
• Working directly at the console and hardware of the platform
• Joining project rollouts and helping launch new cloud features

• Technology architect with T Cloud Public hands-on experience
• Deep expertise in public cloud architecture
• Strong understanding of VPC networking
• Strong understanding of IAM & federation
• Strong understanding of cloud security architecture
• Strong understanding of Kubernetes & container platforms

Support Meridian technical due diligence and transition readiness by using AI-assisted software engineering methods to understand OpenStack-derived cloud services...

• Strengthening Meridian software handover readiness by combining AI-assisted software engineering with code quality, security validation, dependency analysis, and build evidence generation for complex cloud platform repositories
• Trustworthy validation of large codebases

• Development, documentation, integration and deployment of Infrastructure-As-Code into multiple and staged cloud runtime environments
• Provision of abstract interfaces for an overarching automation backend
• Coordination of security measures in various layers of a resource management product