AI DevOps Engineer (MLOps & Cloud)

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.

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 technical documentation for infrastructure and processes

Skills & Experience

• 5+ years of experience in DevOps, SRE, or platform engineering
• Strong experience in MLOps and deployment of AI/ML solutions in production
• Proficiency with cloud platforms (AWS, Azure, or GCP) and related AI services
• Expertise in Infrastructure as Code (Terraform, CloudFormation, ARM templates)
• Hands-on experience with containerisation and orchestration (Docker, Kubernetes, Helm)
• Strong CI/CD experience (GitHub Actions, GitLab CI, Jenkins, Azure DevOps)
• Familiarity with MLOps tools (MLflow, Kubeflow, Weights & Biases, SageMaker Pipelines)
• Proficiency in scripting and automation (Python, Bash)
• Experience with monitoring and observability tools (Prometheus, Grafana, ELK, Datadog)
• Knowledge of DevSecOps practices and security standards
• Experience with secrets and configuration management (Vault, AWS Secrets Manager)

Preferred Skills & Attributes

• Experience optimising AI workloads using GPUs
• Ability to diagnose and resolve issues using AI-assisted tools
• Strong problem-solving and analytical thinking
• Pragmatic approach balancing automation, speed, and reliability
• Attention to detail in infrastructure design and security
• Proactive, with strong ownership and initiative
• Strong collaboration and support mindset
• Comfortable working in fast-paced, agile environments

Work Environment

• Agile, fast-paced innovation environment
• Close collaboration with AI engineers, data scientists, and infrastructure teams
• Strong focus on automation, scalability, and production-ready AI systems
• English-speaking environment (fluency required)

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

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