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
Preferred Skills
Certifications such as AWS Certified DevOps Engineer, Azure DevOps Engineer Expert, or CKA/CKAD
Familiarity with monitoring and logging tools (e.g.  Official notification
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