Senior DevOps Engineer - Azure Cloud/AI Platforms
Job Description & How to Apply Below
06/06/2025
Contract
Active
Job Description:Job Summary:
This role involves building and maintaining data and AI platforms on Azure cloud infrastructure, leveraging Infrastructure as Code (IaC) and Dev Ops tools. The candidate will also work on implementing AIOps capabilities using tools like Log Analytics Work spaces and Moogsoft. The position offers an opportunity to work with cutting-edge technologies including Data, AI, and GenAI stacks in a high-performance and collaborative environment.
Job Responsibilities:
- Build data and AI platforms using predefined Infrastructure as Code (IaC) modules and Dev Ops tools
- Handle and resolve production issues efficiently
- Develop AIOps platforms using Azure-native tools and Moogsoft
- Engage with stakeholders, security, risk, and architecture teams to ensure platforms meet organizational and compliance requirements
- Manage JIRA tasks and actively participate in team standups and sprint activities
- Ensure all platform builds follow risk/security guardrails and enterprise architecture standards
- Terraform: 7+ years of hands-on experience
- Jenkins & Groovy Scripting: 5+ years
- Azure Cloud Infrastructure: 7+ years of deployment and management experience
- Databricks or similar Lakehouse platforms: 3+ years of build and administration experience
- API Management/APIOps: 5+ years of experience
Skills:
- Experience with AI/GenAI stack operations and deployment
- Background in Data & Analytics projects
- Platform automation using Python or other scripting languages/tools
- Strong communication and documentation skills
Azure, Terraform, or relevant cloud/Dev Ops certifications (preferred)
Education:
Bachelor’s degree in computer science, Computer Engineering, or a related technical field (required)
#J-18808-LjbffrPosition Requirements
10+ Years
work experience
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