DXC Technology
2025 Graduate Program - Graduate AI and Automation Sec DevOps Engineer
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Job Description:
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.
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