Awi cloud engineer állások Budapesten (it programozás, fejlesztés)

• 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 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 including IaC scanning and policy-as-code

• Delivery of AI-assisted handover and due diligence support with emphasis on automation, repeatability, evidence generation, and reusable workflow packaging
• Creation of repeatable AI-assisted workflows for assessment, documentation, and transition of a cloud software stack derived from OpenStack

Analysis of large software repositories to map services, dependencies, interfaces, build flows, and technical risks relevant to technical due diligence...

• 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

• Development and enhancement of T Cloud Public platform
• Operation of the developed cloud platform
• Solving complex problems in the daily operation of a hyper-scaler's cloud backend
• Building tools to reduce occurrence of errors and improve customer experience

• 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 and develop scalable cloud security automation solutions across multi-cloud environments
• Build and maintain platform services using modern engineering practices and a code-first approach
• Own and enhance CI/CD pipelines that enable secure, reliable and efficient delivery

• Development and enhancement of T Cloud Public platform
• Solving complex problems in the daily operation of a hyper-scaler's cloud backend
• Hardware-oriented work at the console
• Development and operation of monitoring and quality assurance
• Automation with common automation frameworks

• Technikai tanácsadás és támogatás
• Szakértői szintű iránymutatás nyújtása belső ügyfelek számára Azure-alapú megoldások tervezésében, megvalósításában és üzemeltetésében, a vállalati landing zone architektúrán belül

• Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage)
• Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability

• Analysis and research of cloud-native tools and frameworks for Google Cloud Platform solutions
• Support for T-Systems Public Cloud Product Management Team in solution building and definition

• Solving complex challenges in the day-to-day operations of a hyperscaler’s cloud backend with focus on end of life services (Hardware)
• Hands-on work at the console
• Working directly at the console with technologies that power the platform

• Work with an agile mindset and according to agile methodology
• Define and own target-state GCP network architecture
• Design and govern hybrid connectivity strategy
• Set architecture standards for DNS, load balancing, firewall policy, NAT, private service access, and service-to-service connectivity

• Design of reliable cloud architectures
• Partnership with customers, SRE teams, and internal stakeholders
• Championing automation and building reusable IaC templates and utility tools
• Design of secure cloud networks
• Driving customer success
• Operating platforms at scale

• Security reviews of projects as part of the internal security assessment process
• Advisory support to project teams from a security and compliance perspective
• Assessment of Mobile Core and Access network architectures and designs against internal security requirements

• Design, build, and own secure, scalable cloud-native services using C#/.NET and AWS
• Lead technical decision-making balancing performance, reliability, security, and cost considerations
• Use AI-powered tools to enhance coding, debugging, testing, and prototyping while ensuring quality and safety

• Architecting complex AWS infrastructures and zero-day compliant landing zones
• Understanding customers’ business problems and providing technology consulting to identify the best-fit solution
• Owning the end-to-end solution as a key decision-maker and driving the delivery team

• 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
• Rigorously validate AI outputs to ensure quality and safety

• Shaping AWS-based cloud architectures and technical decisions for SaaS, PaaS, web application, and enterprise cloud environments
• Design and implementation of Infrastructure as Code solutions using Terraform, AWS CloudFormation, or Pulumi