Generative AI Devops

Key Responsibilities 

• Container & Orchestration 

• Deploy, manage, and scale applications on Kubernetes clusters 

• Build, push, and manage Docker images via JFrog Artifactory and Azure Container Registry 

• Leverage kubectl and Helm (where applicable) to perform rolling updates, rollbacks, and debug clusters 

• CI/CD Pipeline Development 

• Design and maintain YAML-driven pipelines in:  

• Azure DevOps Services 

• GitHub Actions 

• Oracle Cloud Infrastructure DevOps 

• Azure pipelines Library groups, github environment variables, OCI vault integration and configuration. 

• Integrate automated testing, security scans, and artifact promotion steps into pipelines 

• Infrastructure as Code 

• Write, review, and maintain Terraform modules for provisioning compute, networking, and platform services across AWS, Azure, Oracle Cloud, and GCP 

• Implement secrets management using Azure Key Vault (and equivalent cloud vaults) 

• Cloud Networking & Connectivity 

• Architect and troubleshoot VPN tunnels, Virtual Cloud Networks (VCNs), load balancers, and NAT gateways 

• Manage IP address assignments and DNS mappings for public-facing and internal services 

• Messaging & Orchestration 

• Build and orchestrate message workflows using Azure Service Bus, AWS SQS, and RabbitMQ 

• Ensure high-throughput, low-latency messaging in distributed microservices environments 

• Database & Data Access 

• Author SQL queries and stored procedures in AWS RDS/SQL and PostgreSQL environments 

• Implement service principals and managed identities to secure database-to-cluster connectivity 

• Automation & Scripting 

• Develop automation scripts in Python, Bash, and PowerShell to streamline operational tasks 

• Automate routine maintenance, deployments, and monitoring setup 

• Collaboration & Best Practices 

• Collaborate with development teams to integrate DevOps best practices 

• Mentor junior engineers on infrastructure patterns, security hardening, and performance optimization 

• Document system designs, runbooks, and post-incident reviews 

Required Qualifications 

• 5+ years of DevOps or Site Reliability Engineering experience 

• Proven expertise with Kubernetes and Docker in production environments 

• Strong proficiency with Terraform, YAML pipeline authoring, and GitOps workflows 

• Hands-on experience across at least two major cloud providers (AWS, Azure, GCP, Oracle) 

• Solid SQL and PostgreSQL knowledge, including query optimization and scripting 

• Experience with messaging platforms: Service Bus, SQS, RabbitMQ 

• Excellent scripting skills in Python, Bash, and/or PowerShell 

• Deep understanding of networking fundamentals: VPNs, load balancers, DNS, VCNs. 

• Configuration of Azure Cognitive Services, AWS Bedrock, Azure OpenSearch, Azure AI Search