23 hours ago
Budapest, HungarySenior
Responsibilities
- Design, develop, support compliance validation for, deploy, and operate cloud data security platforms and AI integrations.
- Build secure, enterprise-scale integrations between internal systems and external AI providers.
- Design centralized logging, monitoring, and observability architectures with privacy and interoperability requirements in mind.
- Implement infrastructure for receiving, storing, processing, and automatically or manually reviewing security signals from AI providers.
- Develop secure data storage solutions and enforce encryption, key management, and access-control requirements.
- Develop and operate AWS- and GCP-based solutions and support Azure integrations when required.
- Use Infrastructure as Code and CI/CD to automate platform deployment, configuration management, and scaling.
- Apply containerized and serverless solutions according to platform requirements.
- Collaborate with AI providers, external partners, and internal cloud, data security, and operations teams.
- Investigate technical faults and performance issues and produce documentation and operational guides.
Requirements
- At least 7 years of relevant cloud engineering experience, including hands-on delivery of complex platforms.
- Deep AWS and/or GCP expertise covering networking, IAM, storage services, serverless, and container platforms.
- Practical experience designing cloud data security controls for encryption, key management, and access control.
- Experience implementing secure API-based integrations and external service connections.
- Experience designing or implementing centralized logging, monitoring, and observability solutions.
- Strong experience with Infrastructure as Code tools such as Terraform or AWS CloudFormation.
- Experience creating CI/CD pipelines for platform deployment and configuration management.
- Ability to independently create automation solutions in Python, Bash, or a similar language.
- Basic knowledge of AI-agent frameworks, LLM integration patterns, or GenAI tools used in security workflows.
- Ability to make independent technical decisions and balance security, reliability, and operational considerations.
- Working proficiency in English.
- Higher-education qualification in information technology, information security, data engineering, or a related field, or equivalent professional experience.
- Preferred: multi-cloud architecture, enterprise AI-provider or model-serving integrations, AI-security-signal workflows, regulated or financial-services experience, data-retention and auditability controls, cloud KMS/HSM, secrets management, key rotation, Docker, Kubernetes, cloud or cloud-security certification, technical design, mentoring, and cross-organization coordination experience.
Benefits
- Flexible working arrangements, ongoing professional development, and a broad benefits package.
- Opportunity to work on complex cloud infrastructure, data security, and enterprise AI-integration challenges with experienced specialists.
About PwC
PwC is a global network of professional services firms providing assurance, tax, and advisory work for businesses and public-sector clients. It sells project-based and managed consulting, audit, and deals services, and implements and integrates business applications. Formed in 1998 by the merger of Price Waterhouse and Coopers & Lybrand, it is headquartered in London and is one of the Big Four accounting firms.