Dxc Technology
Enterprise technology and innovation
AIDevOpsEngineer(MLOps&Cloud)
Neural analysis suggests this role is
optimal for Senior candidates.
“AI DevOps Engineer (MLOps & Cloud) at Dxc Technology. Skills: MLOps, Cloud, DevOps, AI. Design cloud infrastructure. Implement cloud infrastructure”
What You'll Achieve.
drive outcomes at a time of exponential change with speed; ensure high system reliability and availability
Industry & Context.
problem-solving; analytical thinking
What They're Looking For.
Must Have
DevOps, SRE, platform engineering, MLOps, deployment of AI/ML solutions, cloud platforms (AWS, Azure, or GCP), related AI services, Infrastructure as Code (Terraform, CloudFormation, ARM templates), containerisation, orchestration (Docker, Kubernetes, Helm), CI/CD (GitHub Actions, GitLab CI, Jenkins, Azure DevOps), scripting, automation (Python, Bash), monitoring and observability tools (Prometheus, Grafana, ELK, Datadog), DevSecOps practices, security standards, secrets management, configuration management (Vault, AWS Secrets Manager)
Nice to Have
optimising AI workloads using GPUs, diagnose and resolve issues using AI-assisted tools, problem-solving, analytical thinking, Pragmatic approach, Attention to detail, ownership, initiative, collaboration, support mindset, working in fast-paced, agile environments
What You'll Do.
Design cloud infrastructure
Implement cloud infrastructure
Maintain cloud infrastructure
Build Infrastructure as Code
Manage Infrastructure as Code
Develop CI/CD pipelines
Maintain CI/CD pipelines
Support MLOps lifecycle
Configure observability
Troubleshoot production issues
Ensure system reliability
Ensure system availability
Support data scientists
Implement DevSecOps standards
Maintain technical documentation
How You'll Work.
Team & Collaboration
Support developers and data scientists on DevOps tooling and best practices; Close collaboration with AI engineers, data scientists, and infrastructure teams
Communication Scope
English-speaking environment (fluency required)
Full Job Description
**Job Description:** DXC Technology (NYSE: DXC) is a leading enterprise technology and innovation partner delivering software, services, and solutions to global enterprises and public sector organizations — helping them harness AI to drive outcomes at a time of exponential change with speed. With deep expertise in Managed Infrastructure Services, Application Modernization, and Industry-Specific Software Solutions, DXC modernizes, secures, and operates some of the world's most complex technology estates. Learn more on [ _dxc.com_](https://nam12.safelinks.protection.outlook.com/?url=https://demo.dxc.com/content/dxc&data=05%7c02%7calbena.dimitrova%40dxc.com%7c853ee652022e4cdde23808de373e4283%7c93f33571550f43cfb09fcd331338d086%7c0%7c0%7c639008937734407635%7cUnknown%7cTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7c0%7c%7c%7c&sdata=teALgMQnki5TpuzmW1wyAbzUJ%2BNCj8zYWTpcYcoU8ho%3D&reserved=0). **Key Responsibilities** * Design, implement, and maintain scalable, secure cloud infrastructure for AI/ML solutions * Build and manage Infrastructure as Code (IaC) using tools such as Terraform or CloudFormation * Develop and maintain CI/CD pipelines for AI applications and model deployment * Support end-to-end MLOps lifecycle (training, versioning, deployment, monitoring) * Automate deployments using best practices (blue/green, canary releases, rollback strategies) * Configure monitoring, alerting, and observability (logs, metrics, tracing) for production systems * Optimize performance, scalability, and cost (compute, storage, GPU usage) * Use AI tools (e.g. Copilot, ChatGPT, Claude, Cursor) to accelerate scripting, automation, and incident resolution * Troubleshoot production issues and ensure high system reliability and availability * Support developers and data scientists on DevOps tooling and best practices * Implement DevSecOps standards, including security, secrets management, and compliance * Maintain clear technica
Applying for this AI DevOps Engineer (MLOps & Cloud) role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Dxc Technology?
Real rants from real employees. Read before you apply.