Trinus CorporationRemote
DevOps Engineer
United States of America
Contract
2 hours ago
H1B Sponsor Likely
Key skills
DevOps engineeringCloud infrastructureCI/CD pipelinesAutomationSecurityProduction operationsMicrosoft AzureMulti subscription architectureLanding zonesGovernancePolicy enforcementGitHub ActionsInfrastructure as CodeConfiguration driven deploymentPlatform standardizationLinux administrationContainerizationDockerAzure Container AppsAzure Container RegistryNetworkingSecure application deliveryApplication GatewayAPI ManagementSSL/TLSRoutingFirewall policiesCloud securityManaged IdentityZero secret architectureRBACMonitoringAzure MonitorLog AnalyticsDiagnostic settingsCentralized loggingAlertingData platform deployment automationAzure SQLSQL Managed InstanceAzure Synapse AnalyticsScriptingDev Sec OpsRelease governanceCompliance-driven cloud operationsOperational resilienceAI/ML platform engineeringMLOpsAzure Machine LearningAzure OpenAIAzure AI SearchAzure AI FoundryAzure Cloud ArchitectureCloud modernizationSubscription rationalizationTagging standardsRetention policiesSoft-delete configurationsResource protection mechanismsCentralized logsDiagnosticsOperational visibilityIncident responsePlatform health monitoringDecommissioning legacy infrastructureEnd-to-End DevOps lifecycle automationSource controlBranching strategiesBuild pipelinesRelease processesDeploymentsRollbacksProduction supportSelf-service platformsReusable deployment workflowsDeveloper enablementMigration from Azure DevOps to GitHubCloud security managementFirewallnetwork security rulesAPI platformsDeveloper portalsAPI onboardingControlled access to backend servicesManaged identitiesCloud-native servicesSecure enterprise integrationsTroubleshooting cloud platform issuesDatabase migrationsAnalytics platform migrationsRelease coordinationLow-disruption production cutoversContainerized AILLM solutionsMLOps frameworksModel trainingModel deploymentModel monitoringModel promotionModel governanceSQLAIMachine LearningMLLLMOpenAIAnalyticsAzureAzure DevOpsGitHubSource ControlRepositoryCI/CDNetwork SecurityCloud Security
About this role
Trinus Corporation is seeking a DevOps Engineer with strong expertise in cloud infrastructure and automation. The role involves designing and managing CI/CD pipelines, modernizing legacy DevOps processes, and ensuring cloud security and compliance.
Responsibilities:
- Strong DevOps engineering expertise across cloud infrastructure, CI/CD, automation, security, and production operations
- Hands on experience with Microsoft Azure, including multi subscription architecture, landing zones, governance, and policy enforcement
- Proficient in designing and managing CI/CD pipelines using GitHub Actions for automated build, test, release, deployment, rollback, and promotion
- Skilled in modernizing legacy DevOps processes, including repository migrations and transitioning to standardized pipeline driven delivery
- Deep knowledge of Infrastructure as Code, configuration driven deployment, and platform standardization using automation and policy controls
- Experienced in administering and troubleshooting Linux-based and cloud-hosted application environments
- Proficient with containerization technologies such as Docker and Azure Container Apps, including image lifecycle management with Azure Container Registry
- Strong understanding of networking and secure application delivery, including Application Gateway, API Management, SSL/TLS, routing, and firewall policies
- Advanced knowledge of cloud security, including Managed Identity, zero secret architecture, RBAC, governance policies, and secure access design
- Skilled in monitoring and observability using Azure Monitor, Log Analytics, diagnostic settings, centralized logging, and alerting
- Familiar with data platform deployment automation for Azure SQL, SQL Managed Instance, and Azure Synapse Analytics
- Proficient in scripting and automation for provisioning, deployment, and environment management
- Understanding of Dev Sec Ops, release governance, compliance-driven cloud operations, and operational resilience
- Experience with AI/ML platform engineering and MLOps using Azure Machine Learning, Azure OpenAI, Azure AI Search, and Azure AI Foundry
- Skilled in deploying Azure AI Agents in Docker containers and MCP servers, integrating AI Search with Storage Accounts, and enabling cross tenant connectivity
Requirements:
- Strong DevOps engineering expertise across cloud infrastructure, CI/CD, automation, security, and production operations
- Hands on experience with Microsoft Azure, including multi subscription architecture, landing zones, governance, and policy enforcement
- Proficient in designing and managing CI/CD pipelines using GitHub Actions for automated build, test, release, deployment, rollback, and promotion
- Skilled in modernizing legacy DevOps processes, including repository migrations and transitioning to standardized pipeline driven delivery
- Deep knowledge of Infrastructure as Code, configuration driven deployment, and platform standardization using automation and policy controls
- Experienced in administering and troubleshooting Linux-based and cloud-hosted application environments
- Proficient with containerization technologies such as Docker and Azure Container Apps, including image lifecycle management with Azure Container Registry
- Strong understanding of networking and secure application delivery, including Application Gateway, API Management, SSL/TLS, routing, and firewall policies
- Advanced knowledge of cloud security, including Managed Identity, zero secret architecture, RBAC, governance policies, and secure access design
- Skilled in monitoring and observability using Azure Monitor, Log Analytics, diagnostic settings, centralized logging, and alerting
- Familiar with data platform deployment automation for Azure SQL, SQL Managed Instance, and Azure Synapse Analytics
- Proficient in scripting and automation for provisioning, deployment, and environment management
- Understanding of Dev Sec Ops, release governance, compliance-driven cloud operations, and operational resilience
- Experience with AI/ML platform engineering and MLOps using Azure Machine Learning, Azure OpenAI, Azure AI Search, and Azure AI Foundry
- Skilled in deploying Azure AI Agents in Docker containers and MCP servers, integrating AI Search with Storage Accounts, and enabling cross tenant connectivity
- Minimum of 7 years of experience in complex technology implementations in a product-centric environment
- Azure Cloud Architecture, Modernization & Governance - 3 years of experience within the past 4 years designing, deploying, supporting, consolidating, and modernizing enterprise cloud solutions in Azure for complex, regulated, or multi-environment organizations, including subscription rationalization, governance improvements, Azure Policy, tagging standards, retention policies, soft-delete configurations, resource protection mechanisms, centralized logs, diagnostics, operational visibility, incident response, platform health monitoring, and decommissioning legacy infrastructure
- End-to-End DevOps & Platform Engineering - 3 years of experience within the past 4 years implementing end-to-end DevOps lifecycle automation across source control, branching strategies, build pipelines, release processes, deployments, rollbacks, monitoring, and production support, while enabling product-centric teams through self-service platforms, reusable deployment workflows, developer enablement capabilities, and migration from legacy tooling such as Azure DevOps to modern delivery platforms such as GitHub and GitHub Actions
- Cloud Security, Networking & API Integration - 3 years of experience within the past 4 years managing and automating firewall and network security rules across multiple cloud environments or subscriptions, building secure API platforms and developer enablement solutions, including developer portals, API onboarding, controlled access to backend services, managed identities, cloud-native services, secure enterprise integrations, and troubleshooting complex cloud platform issues involving undocumented behaviors, authentication edge cases, SDK limitations, and secure service-to-service integrations
- Data, AI, Migration Engineering & MLOps - 3 years of experience executing database and analytics platform migrations, including validation, release coordination, and low-disruption production cutovers, deploying containerized AI and LLM solutions, and implementing MLOps frameworks for model training, deployment, monitoring, promotion, and governance is a plus
- Bachelor's degree in an IT-related or Engineering field