Cloud Engineer

Contract (4 months 1 day) Published 12 hours ago root cause analysis Azure services performance optimization AI/ML services Microsoft Azure Monitoring & Alerting microservices architecture production support python programming

We are looking for an Azure Cloud Engineer with hands-on experience in building and supporting cloud-native and AI-driven applications. This role focuses on working with Azure services, improving reliability, and supporting production environments with strong exposure to identity, observability, and cloud operations., Azure Cloud & AI Workloads:

• Deploy, manage, and support Azure services including:
• Azure Container Apps, Azure Cosmos DB, Storage, and App Services
• Azure OpenAI, AI Foundry, and related AI/ML services
• Support development and operations of cloud-native applications across environments

Identity & Access Management:

• Implement and manage access using:
• Microsoft Entra ID
• Managed Identity and Role-Based Access Control (RBAC)
• Enable secure, identity-based communication between services

Observability & Incident Management:

• Monitor applications using:
• Application Insights and Log Analytics
• Alerts and anomaly detection mechanisms
• Troubleshoot issues, perform root cause analysis, and document runbooks and learnings

Cloud Operations & Reliability:

• Support production systems by resolving incidents and improving system stability
• Optimize workloads for performance, scalability, and cost efficiency
• Collaborate with engineering teams to enhance platform reliability

Networking & Connectivity:

• Work with Azure networking fundamentals:
• VNets, Subnets, DNS
• Private connectivity concepts (Private Endpoints / Private Link - good to have)
• Ensure stable connectivity between services and environments

• 2-4 years of overall software engineering experience
• At least 1+ years of hands-on Microsoft Azure experience in production environments
• Experience working with cloud-native or AI-based applications is preferred, * Hands-on experience with Microsoft Azure (IaaS, PaaS, and AI services)
• Experience with container-based deployments (Docker / Container Apps)

Familiarity with:

• Managed Identity, Entra ID, RBAC
• Monitoring tools (Application Insights, Log Analytics)
• Experience in production support, incident triage, and troubleshooting
• Programming experience in Python, Java, or Node.js

Nice to Have:

• Experience with AI/LLM applications (OpenAI, RAG, AI workflows)
• Exposure to CI/CD tools (GitHub Actions, Azure DevOps)
• Understanding of microservices or event-driven architecture
• Basic understanding of data privacy and compliance practices

Pulled from the full job description

• Health insurance
• Retirement plan
• Vision insurance
• Dental insurance, The pay range that the employer in good faith reasonably expects to pay for this position is $37.91/hour - $59.23/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.