Own the design, development, testing, deployment, and ongoing operation and maintenance of game backend services and core modules, ensuring features are delivered on schedule.
Design and implement secure, scalable cloud solutions using platforms like AWS or Azure, supporting infrastructure modernization and automation efforts.
The Cloud Security Engineer is responsible for implementing, and managing of security services on Google Cloud Platform (GCP). This role is highly involved in deployment of security services within the client's cloud environment to assist them to improve their cloud security posture and ensure compliance to regulation. There will be extensive communications with client representatives of various levels including management, as well as with principal support engineers from CSPs; therefore good communication and relationship management skills are required.
Design, architect, and implement scalable, secure, and reliable cloud-based infrastructure solutions across public, private, and hybrid cloud environments
Design, Implement and maintain Openshift Virtualization and Container infrastructure in covering on-premises datacentres. Support also VMware, Nutanix or HyperV platforms
Architect & Build: Design and implement a robust, performance-critical data pipeline for cloud-vehicle interaction, ensuring low latency and high reliability over cellular networks.
Lead the design and implementation of secure, scalable, and cost-optimized cloud infrastructure, with a strong emphasis on AWS-native services and best practices.
Company Description Ironbook AI is a builder-led company focused on solving complex enterprise AI challenges in data activation, agentic automation, and autonomous data engineering. The organization operates a dual model, combining product development of AI-native systems, such as an autonomous data migration agent, with a high-impact consulting practice serving leading enterprises across APAC. Teams work directly with modern cloud and data platforms, including AWS, Databricks, Confluent, and MinIO, to deliver scalable AI solutions in production environments. Ironbook AI offers an environment for professionals who want to build meaningful systems, advance the capabilities of AI, and contribute to the future of enterprise technology.
agentic workflows, including risks such as prompt injection, data leakage,insecure tool use, and excessive agencyDesign and execute AI security testing and adversarial evaluations, workingwith specialist red-team teams where appropriate
agentic workflows, including risks such as prompt injection, data leakage,insecure tool use, and excessive agencyDesign and execute AI security testing and adversarial evaluations, workingwith specialist red-team teams where appropriate
Threat-model and security-review LLM applications, RAG architectures, and agentic workflows, including risks such as prompt injection, data leakage, insecure tool use, and excessive agency
Threat-model and security-review LLM applications, RAG architectures, and agentic workflows, including risks such as prompt injection, data leakage, insecure tool use, and excessive agency
Design and build self-service platform, such as Message Queue service, Observability service, etc, that would enable developers to focus on coding, testing, and managing their cloud-native applications.