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.

Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .