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.
Architectural Guidance: Review, validate, and optimize proposed solution designs, focusing on optimal architectural patterns for the migration to .NET 8.
Requirements Translation: Partner closely with business users and Functional Business Analysts (FBAs) to gather requirements and translate them into Functional and Technical Specification documents.
Client & Requirement Analysis: Work with clients to understand their business and technical requirements and translate them into practical cloud-based solutions.
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.
Take ownership of the Azure landing zone, including subscription structure, management groups, governance frameworks, and policy controls tailored to the organisation’s scale.
Be involved in systems and technology development, working with the technical leads and architect to build, integrate, and test the system to meet business and technical requirements.
Design, architect, and implement scalable, secure, and reliable cloud-based infrastructure solutions across public, private, and hybrid cloud environments
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