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Dev Ops Engineer

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Dash Technologies

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Location:
United States , Los Angeles

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

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).

Job Responsibility:

  • serves as the engineer of complex technology implementations in a product-centric environment
  • comfortable with bridging the gap between legacy development or operations teams and working toward a shared culture and vision
  • 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)

Requirements:

  • 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

Nice to have:

  • 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

Additional Information:

Job Posted:
May 05, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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