Cloud & AI Security Engineer

Cloud & Ai Security Engineer

Assurity Trusted Solutions (ATS) is a wholly owned subsidiary of the Government Technology Agency (GovTech). As a Trusted Partner over the last decade. ATS offers a comprehensive suite of products and services ranging from infrastructure and operational services, governance and assurance services as well as managed processes. In a dynamic digital & cyber landscape where trust & collaboration is key, ATS continues to drive mutually beneficial business outcomes through collaboration with GovTech, government agencies and commercial partners to mitigate cyber risks and bolster security postures.

We're hiring a Cloud & AI Security Engineer to help design and secure the cloud foundations, deployment platform, and AI/LLM services under the CIOO/CISO remit. This is a junior to mid-level role for engineers with solid cloud fundamentals who want to grow in cloud security, automation and AI security.

Responsibilities:

• Secure cloud platforms and deployment workflows – review and uplift cloud infrastructure and deployment patterns (networking, IAM, logging, data protection) and embed security into CI/CD pipelines (build, test, deploy, guardrails).
• Support MCP and AI/LLM security – help design and implement controls around the MCP server and governance/harness layer, including secure context handling, access control, and protection against context injection.
• Automate control validation – build and maintain automated checks ("controls as code") for cloud and SaaS workloads using IaC scanning, policy-as-code, and pipeline-integrated checks.
• Harden SaaS services – support security reviews and control validation for key SaaS platforms, working with product and platform teams to close gaps in a sustainable way.
• Run cloud posture tooling – assist with rolling out and operating cloud configuration and posture management tools (e.g. Wiz or similar CSPM), and ensure security telemetry is available to central monitoring/analytics.