DevOps Engineer – AI/ML, Slackware Full Time NEW

Job Role: DevOps Engineer

Location: Downey, CA (90242)

Duration: 12 Months Contract

Skills Required:

DevOps Engineers will possess knowledge and experience in deployment and network operations, or systems administration including scripting, coding and development that focuses on improving the planning, testing and deployment; skill in configuring Linux Slackware web servers; creating custom HTML, CSS, JavaScript, Java, and C code; developing applications for Android systems; and familiarity with coding and automation tools.

Additional Skills Required:

– 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.