Senior DevOps Engineer

Summary: The Senior DevOps Engineer role is a long-term contract position focused on CI/CD pipelines and platform automation, requiring extensive hands-on experience with Azure and GitHub Actions. Candidates must have a minimum of 10 years of experience and be authorized to work in the United States. The position emphasizes the implementation of DevSecOps best practices and infrastructure as code for Azure resources. This role is suitable for individuals with deep expertise in cloud services and automation of AI product deployments.

Key Responsibilities:

• Hands-on experience in Azure, GitHub action is mandatory. Candidate must have worked on these in the most recent project.
• Strong hands-on experience in Build and manage robust pipelines for app and infrastructure deployment in Azure.
• Enforce DevSecOps best practices across the platform lifecycle. Should be capable of recommending the right practices and implementing the same.
• Integrate test, build, deploy, and rollback strategies into automated workflows. Should have hands-on experience in identifying and implementing right DR setup.
• Design and implement infrastructure as code (IaC) for automated provisioning of Azure resources using Bicep. Knowledge of other tools like Terraform, or ARM templates.
• Automate deployments of AI products, especially RAG components (vector stores, inference services, semantic layers, etc.) via CI/CD pipelines (GitHub Actions, Azure DevOps).
• Strong hands-on experience in DevOps / cloud infrastructure engineering roles, Azure resource groups and its management.
• Deep expertise in Azure cloud services (App Services, AKS, Functions, VNets, Key Vault, etc.).
• Strong knowledge of IaC, CI/CD tools, and scripting languages (PowerShell, Python, Bash, GITHUB).
• Knowledge of AI Model deployments, AI foundry.

Key Skills:

• Minimum 10 years of experience in DevOps roles.
• Hands-on experience with Azure and GitHub Actions.
• Experience in building and managing CI/CD pipelines.
• Knowledge of DevSecOps best practices.
• Experience with infrastructure as code (IaC) using Bicep, Terraform, or ARM templates.
• Automation of AI product deployments.
• Strong knowledge of Azure cloud services.
• Proficiency in scripting languages (PowerShell, Python, Bash).
• Experience with AI Model deployments.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT