Job Role: DevOps Engineer

Location: Downey, CA (Remote)

Duration: 12 Months Contract

Position Description:

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).

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:

- 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.

- Understanding of DevSecOps, 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.

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