Job Description:
Key Responsibilities
Azure Automation & Cloud Engineering
Develop and deploy automation solutions using Azure Functions, Logic Apps, Automation Accounts, Event Grid, and other Azure services.
Implement scalable automation frameworks to streamline operational processes and reduce manual activities.
Build and optimize cloud workflows that enhance compliance, governance, and cost efficiency.
AI/ML Integration
Integrate AI/ML models with Azure automation solutions to enable intelligent decisioning and self-healing capabilities.
Contribute to DXC’s AI-driven automation initiatives, creating next-generation cloud operations capabilities.
Develop solutions using Azure AI services (Azure OpenAI, Cognitive Services, ML models, etc.) as required.
Cloud Optimization
Implement optimizations that reduce operational costs and improve cloud resource efficiency.
Monitor system behavior and automate corrective actions to ensure stability and reliability.
Collaborate with senior engineers to enhance cloud operational maturity for client accounts.
Delivery Support for High-Priority Accounts
Provide hands-on engineering support for high-priority and short-term customer engagements.
Troubleshoot automation issues and enhance solution reliability.
Deliver high-quality outputs under tight timelines and rapid iteration cycles.
Required Skills & Experience
Technical Skills
Hands-on development experience with Azure automation services such as: Azure Functions Logic Apps Automation Runbooks PowerShell or Python scripting
Strong understanding of Azure resource management, governance, AI/ML pipelines, and cloud optimization techniques.
Experience integrating AI/ML models or cognitive services into cloud workflows is a solid advantage.
Skilled Skills
Ability to work efficiently in high-dependency, rapid-delivery environments.
Solid analytical, debugging, and automation problem-solving skills.
Effective communication and documentat