Sr Analyst I Software Engineering

Job Description:

• Job Description:
• Design, implement, and manage CI/CD pipelines using Azure DevOps.
• Collaborate with development teams to integrate GIT workflows and best practices.
• Deploy and manage applications on Azure Cloud.
• Develop and maintain Infrastructure as Code (IaC) using Terraform.
• Monitor and optimize system performance, reliability, and security.
• Troubleshoot and resolve issues in development, test, and production environments.
• Implement and manage automated testing and deployment processes.
• Ensure compliance with industry standards and best practices.

• Skill set required:
• 7+ years of proven experience with Azure DevOps and CI/CD pipeline creation and management.
• Strong proficiency in GIT and version control systems.
• Hands-on experience with Azure Cloud and MUST HAVE experience with Azure Kubernetes services (AKS), App services, API Management
• Expertise in Infrastructure as Code (IaC) using Terraform.
• Solid understanding of containerization and orchestration technologies (e.g., Docker, Kubernetes).
• Familiarity with observability tools
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Bachelor’s degree in computer science, Engineering, or a related field (or equivalent experience).

• Additional AI Responsibilities:
• Implement and manage AI-assisted DevOps workflows leveraging Azure AI, GitHub Copilot, and intelligent automation tools.
• Experience with AI-powered developer productivity tools such as GitHub Copilot, Azure AI Foundry, or similar platforms.
• Knowledge of AI/ML services on Azure, including Azure OpenAI, Azure Machine Learning, and Cognitive Services.
• Implement security, governance, and compliance controls for AI-enabled applications and cloud environments.
• Automate infrastructure management, deployment validation, and remediation activities using AI-powered tools and platforms.
• Integrate AI-driven monitoring, observability, and incident management solutions to improve system reliability and operational efficiency.
• Experience integrating AI capabilities into CI/CD pipelines and cloud-native applications.
• Familiarity with AIOps practices, intelligent observability platforms, and automated incident response.
• Ability to leverage Generative AI tools for infrastructure automation, code generation, documentation, and operational efficiency improvements.

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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