Cloud & AI Security Engineer designing secure cloud infrastructures and AI/LLM services at Assurity Trusted Solutions. Engineers with solid cloud fundamentals are encouraged to apply.
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.
Requirements
Experience – roughly 1–3 years in cloud platform or cloud security engineering (or strong internship/early-career experience) with hands-on work on at least one major cloud provider (AWS preferred).
Skills – good grasp of cloud networking, IAM, KMS/BYOK, logging/telemetry, containers/serverless, and CI/CD
Mindset – pragmatic, outcome-focused, comfortable working closely with engineering teams while operating as part of a central security function.
Growth interest – strong interest in AI/ML and LLM security, plus a willingness to learn new cloud-native security patterns and tools.
Benefits
A wholly-owned subsidiary of GovTech.
We promote a learning culture and encourage you to grow and learn.
Contract Staff enjoys the same benefits as Permanent Employees.
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