Responsibilities

• Should balance deep technical expertise with strategic thinking, ensure robust, scalable, and secure cloud environment while driving DevOps culture across teams.
• Design, implement, and manage Azure DevOps pipelines for CI/CD automation.
• Develop and maintain Infrastructure as Code (IaC) using ARM templates, Terraform, Bicep, and JSON.
• Automate infrastructure provisioning and configuration using PowerShell, Azure Automation, and AI-assisted scripting tools.
• Manage and optimize Azure environments, ensuring scalability, security, and performance.
• Leverage GenAI tools (e.g., GitHub Copilot, Azure OpenAI, ChatGPT Enterprise, or custom LLMs) to enhance code generation, documentation, testing, and release processes.
• Support containerization and orchestration with AKS (Azure Kubernetes Service) and Docker.
• Implement GitHub Actions for application and infrastructure automation deployments.
• Collaborate with application and AI development teams to streamline cloud-native and AI-enhanced best practices.
• Work closely with enterprise stakeholders to align DevOps and AI strategies with business objectives.
• Monitor, troubleshoot, and optimize cloud infrastructure and AI-integrated CI/CD pipelines.
• Coordinate with Member firm leads, process team leads on security solution alignment and solutioning implementation on enterprise application on cloud platforms.
• Lead and coordinate technical team, ensuring efficient collaboration and performance across different geographical locations.
• Mentor and develop junior team members, fostering a culture of continuous learning and improvement.
• Implemented Software Configuration Management processes to control and build new versions for releases.
• Collaborated with development teams, utilizing scripting languages to support Automated IT operations methodology (foundation of cloud services)

Required Technical Skills:

• Strong experience with Azure Cloud and its DevOps ecosystem
• Hands-on experience with Azure DevOps (Repos, Pipelines, Artifacts, etc.)
• Deep expertise in Azure VMs, App Services, Functions, and serverless architectures.
• Strong understanding of VNET, Load Balancer, Traffic Manager, Azure Firewall, NSGs, Express route and DNS.
• Migrating applications from on-prem to cloud, IaaS to PaaS and V1 to V2 Gateway and domain joining VMs and troubleshooting
• Experience with storage (Blob Storage, Azure Files & Azure PaaS SQL
• Working with Azure AD, RBAC, Key Vault, Managed Identities, and security best practices.
• Proficiency in Custom alerts, Log Analytics & Application Insights
• Mastery of YAML-based pipelines, multi-stage workflows, and integration with GitHub/Azure Repos.
• Integration with SonarQube, Fortify scan and SAST/DAST Scan for code quality and security.
• Good understating of Terraform, ARM/Bicep and PowerShell
• Automating resource build using scripting and designing pipelines for Infra setup from scratch
• Setting up pipelines to automate annual BCP test across applications with minimal user intervention.
• Working knowledge of ADO, GitHub and GitLab.
• Migrating pipelines from ADO to GitHub
• Design, build and maintain docker images for various applications & optimize docker images for performance and security.
• Deploy and manage Kubernetes clusters, integrate docker and Kubernetes into CI/CD pipelines.
• Automating deployment process and workflows.
• Create and maintain comprehensive documentation for docker and Kubernetes setup, process, and procedures.
• Strong analytical, problem-solving, and multi-tasking skills for timely resolution of complex customer issues.
• Excellent written and oral communication skills.
• Self-motivated to improve knowledge and skills.

Education:

·Bachelor’s or master’s degree in computer science, Information Technology, or a related field.