Senior Software Engineer - Azure DevOps & AI-Driven Automation

DXC Technology India Pvt Ltd; Chennai; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

DXC Technology India Pvt Ltd in Chennai is seeking a Senior Analyst I Software Engineering to design, implement, and manage CI/CD pipelines using Azure DevOps, collaborate with development teams to integrate GIT workflows and best practices, and deploy applications on Azure Cloud.

The role requires 7+ years of hands-on experience with AKS, Terraform, Docker, Kubernetes, App Services, and API Management; it also emphasizes AI-enabled DevOps, observability, security, and strong problem-solving and

Qualifications

• 7+ years of hands-on experience with Azure DevOps and CI/CD pipelines.
• Strong proficiency in GIT and version control systems.
• Experience with Azure Cloud and must-have AKS, App Services, API Management.
• Infrastructure as Code (IaC) using Terraform.
• Solid understanding of containerization and orchestration (Docker, Kubernetes).
• Familiarity with observability tools and incident management.
• Excellent problem-solving and communication skills.
• Bachelor's degree in CS/Engineering or equivalent.

Responsibilities

• 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 IaC with Terraform and manage cloud resources.
• Monitor, optimize, and secure system performance across environments.
• Troubleshoot and resolve issues in development, test, and production.
• Implement automated testing and deployment processes.
• Ensure compliance with industry standards and best practices.
• Explore AI-enabled DevOps workflows and tooling.

Skills

Azure DevOps

CI/CD pipelines

GIT/version control

Azure Cloud

AKS

Terraform

Docker/Kubernetes

Observability tools

Problem-solving

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform

AKS

Docker

Kubernetes

App Services

API Management

Git

Azure DevOps

Job description

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.

Experience Level Senior Level