Senior Systems Engineer - Microsoft Azure

Job description

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