Sr Analyst I Software Engineering

Overview

The Sr Analyst I Software Engineering role designs, implements, and manages Azure DevOps, CI/CD, cloud infrastructure, and AI-assisted DevOps workflows.

What you'll do

• 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.
• Implement and manage AI-assisted DevOps workflows leveraging Azure AI, GitHub Copilot, and intelligent automation tools.
• 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.
• Leverage Generative AI tools for infrastructure automation, code generation, documentation, and operational efficiency improvements.

What you'll need

• 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.
• 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).
• 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.
• Experience integrating AI capabilities into CI/CD pipelines and cloud-native applications.
• Familiarity with AIOps practices, intelligent observability platforms, and automated incident response.

Details

• Location: Chennai, Tamil Nadu, India.
• The work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.