We are looking for a Senior Systems Engineer with deep expertise in Azure DevOps and hands-on experience in building scalable, secure cloud-native and AI-powered solutions.
Responsibilities
- Design and implement a scalable Azure architecture
- Develop advanced CI/CD pipelines with automation and quality gates
- Lead infrastructure automation with Terraform, YAML and ARM
- Manage AKS clusters and containerized workloads
- Optimize systems for high availability, performance and cost
- Build backend services using Azure-native components
- Implement secure, production-grade deployments
- Build and integrate GenAI applications using LLM APIs
- Develop backend for AI-enabled applications
- Mentor junior engineers
Requirements
- 5-8 years experience in system engineering
- Expertise in Azure architecture and advanced CI/CD strategy implementation
- Proficiency in infrastructure automation at scale using Terraform, Bicep and ARM
- Skills in Kubernetes (AKS) production deployments
- Competency in networking, security and identity (IAM)
- Background in OS administration across Windows and Linux
- Knowledge of Azure AI Foundry and RAG architectures with Cognitive Search or Vector DB
- Capability to build and integrate GenAI applications using LLM APIs
- Strong system design and troubleshooting skills
- Proven experience in production-grade deployments
Nice to have
- Understanding of AI agents and tools calling
- Familiarity with MCP integrations