AWS Cloud Security Engineer (AI)
- Build and improve secure cloud environments across AWS and Azure.
- Develop automation using Python, PowerShell or Bash and embed security controls into CI/CD pipelines.
- Conduct threat modelling and security assessments for cloud and AI workloads.
Are you a seasoned DevOps engineer, looking for a long term contract ?
Your new company
Join a purpose-led organisation delivering essential services to communities across Australia. You will work in a modern, technology-focused environment that is investing in secure cloud platforms, automation and emerging AI capabilities.
Your new role
As a DevOps Engineer, you will help build, automate and secure next-generation AI platforms across AWS and Azure. Working closely with cloud, security and engineering teams, you will:
- Build and improve secure cloud environments across AWS and Azure
- Support the secure adoption of AI platforms, including Amazon Bedrock, Azure AI Services and Azure OpenAI
- Develop automation using Python, PowerShell or Bash
- Build security controls using Terraform, CloudFormation or Azure Bicep
- Embed security controls into CI/CD pipelines, GitHub Actions and Azure DevOps
- Automate security monitoring, compliance reporting and remediation
- Protect AI models, prompts, training data and sensitive information
- Conduct threat modelling and security assessments for cloud and AI workloads
- Identify and respond to cloud security threats, vulnerabilities and incidents
- Partner with engineering teams to embed security throughout the delivery process
What you'll need to succeed
- Strong experience in cloud security, DevSecOps, cyber security engineering or a related role
- Strong hands-on experience with AWS and Azure
- Experience securing cloud-native and enterprise-scale environments
- Practical experience with Amazon Bedrock and generative AI security controls
- Strong scripting skills in Python, PowerShell or Bash
- Experience with Terraform, CloudFormation or Azure Bicep
- Good understanding of CI/CD pipelines, GitHub Actions and Azure DevOps
- Experience with cloud security monitoring and workload protection tools
- Strong knowledge of security automation, threat modelling and vulnerability management
- An engineering-focused mindset with a passion for building solutions, writing automation and solving complex technical challenges
What you'll get in return
- The opportunity to work with AI technologies and secure cloud platforms
- Hands-on involvement in AWS, Azure, automation and DevSecOps initiatives
- The chance to help shape secure AI engineering practices
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
Hays appreciates the importance of workforce diversity and inclusion. We are an equal-opportunities employer and have policies, procedures and relationships in place to promote our understanding of all forms of diversity.#3016044
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