Senior DevOps Engineer (GenAI & Cloud Infrastructure)

Key ResponsibilitiesAzure Ecosystem Management: Design, deploy, and manage scalable, secure, and highly available infrastructure using Azure Services (App Services, Azure Functions, Azure Batch ).Infrastructure as Code (IaC): Maintain and evolve our environment using automation, ensuring all infrastructure is version-controlled and reproducible.AI-Enhanced Operations: Integrate GenAI tools (such as GitHub Copilot/ Claude, Gemini, or Azure OpenAI) into the DevOps lifecycle to automate documentation, generate unit tests for scripts, and perform predictive incident analysis.Advanced Scripting: Develop complex automation scripts using Python 3 and PowerShell to bridge gaps between disparate systems and automate manual toil.CI/CD Leadership: Own the build and release pipelines (Azure DevOps or GitHub Actions), ensuring rapid, secure, and compliant software delivery.Security & Governance: Implement "Shift Left" security practices, managing Azure Policy, RBAC, and secret management via Azure Key

Vault.QualificationsRequiredCloud: 5+ years of deep experience with public cloud infrastructure management (Azure preferred)Automation: Expert-level proficiency in Python 3 and PowerShell for systems automation.AI Literacy: Proven experience using GenAI tools to optimize coding, debugging, or operational workflows.Soft Skills: Strong communication skills for a 100% remote environment and a "mentor-first" mindset.PreferredCertifications: Azure Solutions Architect Expert or Azure DevOps Engineer Expert.FinOps: Experience using AI-driven insights to manage and reduce cloud consumption costs.Note to Applicants: We value continuous learning. If you are a DevOps expert who has recently started building custom GPTs or Python-based AI agents to handle your "boring" tasks, we want to hear from you.