Overview
Remote
Hybrid
BASED ON EXPERIENCE
Contract - Independent
Contract - W2
Skills
DEVOPS ENGINEER
DEVOPS SPECIALIST
CLOUD DEVOPS
AZURE
GITHUB
Job Details
Job Title: Senior DevOps Engineer
Location: Remote in the United States
Employment Type: Long-term Contract
Any Visa holder who is authorized to work for any employer.
We require the candidates on our W2 only.
Minimum experience: 10 years and above.
Bold and Highlighted are Mandatory skills
Job Description:
CI/CD Pipelines & Platform Automation
Location: Remote in the United States
Employment Type: Long-term Contract
Any Visa holder who is authorized to work for any employer.
We require the candidates on our W2 only.
Minimum experience: 10 years and above.
Bold and Highlighted are Mandatory skills
Job Description:
CI/CD Pipelines & Platform Automation
- 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.