Please find below the new requirement.
| Employment Type: | Contract |
|---|---|
| Duration: | 06/15/2026 - 06/14/2027 |
| Remote Job: | No |
| Country: | United States |
| State: | California |
| City: | Los Angeles, CA, 90008 |
| Zip Code: | 90008 |
| Required Hours Week: | 40 |
| Primary Skills: | automation, CI/CD, security, release governance, Routing, governance, test, deployment, Centralized Logging, Azure AI Search, SSL/TLS, API Management, Release, • Strong DevOps engineering expertise across cloud infrastructure, and production operations • Hands on experience with Microsoft Azure, including multi subscription architecture, landing zones, and policy enforcement • Proficient in designing and managing CI/CD pipelines using GitHub Actions for automated build, 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 Cont, including image lifecycle management with Azure Container Registry • Strong understanding of networking and secure application delivery, including Application Gateway, 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, 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, and environment management • Understanding of Dev Sec Ops, compliance-driven cloud operations, and operational resilience • Experience with AI/ML platform engineering and MLOps using Azure Machine Learning, Azure OpenAI, 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 |
A DevOps Engineer serves as the engineer of complex technology implementations in a product-centric environment; is comfortable with bridging the gap between legacy development or operations teams and working toward a shared culture and vision; and works to arm developers with the best tools and ensuring system uptime and performance. The DevOps Engineer will deploy and configure services using infrastructure as a service (IaaS) providers (e.g., Amazon Web Services, Microsoft Azure, Google Compute Engine, RackSpace/OpenStack); configure and manage Linux-based servers to serve a dynamic website; debug cluster-based computing architectures; use scripting or basic programming skills to solve problems; install and manage open source monitoring tools; use configuration management tools (e.g., Puppet, Chef, Ansible, Salt); Develop architecture for continuous integration and deployment, and continuous monitoring; and use containerization technologies (e.g., LXC, Docker, Rocket).
