We're looking for a Senior Systems Engineer bringing extensive Azure DevOps knowledge along with practical experience constructing scalable, secure cloud-native and AI-enhanced solutions.

Responsibilities

Architect and build out a cloud infrastructure on Azure designed for scalability
Build sophisticated CI/CD pipelines incorporating automation and quality checkpoints
Take the lead on automating infrastructure using Terraform, YAML, and ARM
Oversee AKS clusters along with containerized application workloads
Fine-tune systems to achieve strong availability, solid performance, and cost efficiency
Construct backend services built on Azure-native components
Roll out secure deployments suitable for production environments
Develop and connect GenAI applications through LLM API integration
Build backend infrastructure supporting AI-powered applications
Provide mentorship and guidance to junior engineering staff

Requirements

Between 5 and 8 years of experience in systems engineering
Strong command of Azure architecture and implementing advanced CI/CD strategies
Skilled in automating infrastructure at scale using Terraform, Bicep, and ARM
Capability deploying and managing Kubernetes (AKS) in production settings
Solid background in networking, security practices, and identity management (IAM)
Experience administering both Windows and Linux operating systems
Familiarity with Azure AI Foundry and RAG architecture using Cognitive Search or vector database solutions
Ability to build and integrate GenAI applications leveraging LLM APIs
Strong capabilities in system design and troubleshooting complex issues
Demonstrated track record delivering production-grade deployments

Nice to have

Familiarity with AI agents and tool-calling mechanisms
Working knowledge of MCP integration approaches

Senior Systems Engineer - Microsoft Azure

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