2025 Graduate Program - Graduate AI and Automation Sec DevOps Engineer

Graduate AI and Automation Sec DevOps Engineer with the Cyber Security Team

To be eligible for our Graduate Program, when submitting your application, you should be:

• An Australian citizen 
• Have completed all course requirements for your degree no earlier than November 2022, and must be expecting to complete all course requirements for your degree no later than February 2025 
• Diploma/Certificate/Degree in Information Technology (Security preferred)

Role starting in Feb 2025 

Your journey with us starts from day 1. You will take part in a structured induction program where you will have the opportunity to meet other graduates from your cohort across Australia and New Zealand, and undertake training to get you up to speed with the DXC environment and build your interpersonal skills.

As a grad, you will join a diverse team who is passionate about making a difference for our customers and society. You will contribute to real projects while learning from industry experts and senior leaders in the field. There are endless learning opportunities for you to grow professionally and personally.

Roles and Responsibilities:

1. Development and Deployment:
  - Collaborate with the development team to design and implement automated deployment pipelines for AI and automation systems.
  - Develop and maintain scripts and tools for continuous integration and continuous deployment (CI/CD).
  - Ensure that the deployment process follows security best practices and adheres to the organization's security policies.
  - Monitor and troubleshoot deployments, identify and resolve issues in a timely manner.

2. AI and Automation Systems:
  - Assist in the development and implementation of AI models and automation systems.
  - Conduct research and stay up to date with the latest technologies and tools in the field of AI and automation.
  - Work closely with data scientists and software engineers to integrate AI models into the organization's systems.
  - Optimize AI models and automation workflows for performance and scalability.

3. Security and Compliance:
  - Implement and maintain security measures to protect AI and automation systems from vulnerabilities and cyber threats.
  - Conduct regular security assessments and audits of AI and automation systems to identify and address potential risks.
  - Ensure compliance with regulatory requirements and industry best practices related to data privacy and security.
  - Collaborate with the security team to respond to security incidents and implement remediation measures.

4. Monitoring and Troubleshooting:
  - Monitor the performance and availability of AI and automation systems, and proactively identify and address any issues.
  - Implement monitoring tools and dashboards to provide real-time visibility into system health and performance.
  - Investigate and troubleshoot system failures, performance bottlenecks, and other technical issues.
  - Collaborate with cross-functional teams to resolve issues and implement preventive measures.

5. Collaboration and Documentation:
  - Collaborate with cross-functional teams including developers, data scientists, and operations teams to ensure smooth integration and operation of AI and automation systems.
  - Document system architectures, deployment processes, and troubleshooting guides.
  - Provide technical guidance and support to junior team members.
  - Participate in knowledge sharing activities, such as conducting training sessions and workshops.