Senior Systems Engineer – Azure DevOps & GenAI
Summary
A senior engineer role designing, automating, securing, and operating scalable Azure-based cloud platforms: building CI/CD pipelines, automating infrastructure with Terraform/Bicep/ARM, and managing AKS clusters, plus integrating GenAI features via LLM APIs and RAG architectures.
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Job Description
- Experience: 5–8 years
Role Overview
We are looking for a Senior Systems Engineer with strong Azure DevOps and cloud infrastructure experience to design, automate, secure, and operate scalable Azure-based platforms. The role also requires practical exposure to GenAI application integration , including LLM APIs, RAG architecture, and AI-enabled backend systems.
Key Responsibilities
- Architect and build scalable, secure cloud infrastructure on Azure .
- Design and maintain advanced CI/CD pipelines with automation and quality gates.
- Automate infrastructure using Terraform, Bicep, ARM, and YAML .
- Deploy and manage AKS clusters and containerized workloads.
- Optimize systems for availability, performance, scalability, and cost efficiency.
- Support secure production deployments and troubleshooting.
- Integrate GenAI applications using LLM APIs and RAG-based architectures.
- Mentor junior engineers and support technical best practices.
Required Skills
- 5–8 years of experience in systems engineering, DevOps, or cloud engineering.
- Strong hands-on experience with Azure architecture and Azure DevOps .
- Expertise in CI/CD , infrastructure automation, and production deployment practices.
- Experience with Terraform, Bicep, ARM templates , and YAML pipelines.
- Hands‑on experience deploying and managing AKS / Kubernetes in production.
- Strong understanding of cloud networking, security, IAM, and troubleshooting.
- Experience administering both Windows and Linux systems.
- Familiarity with Azure AI Foundry , RAG architecture, Cognitive Search, vector databases, and LLM API integration.
Nice to Have
- Experience with AI agents and tool‑calling workflows.
- Working knowledge of MCP integration approaches.
- Exposure to enterprise AI‑enabled platforms.
Preferred Candidate Profile
The ideal candidate will be a strong Azure DevOps / Systems Engineer with hands‑on experience in Azure cloud infrastructure, CI/CD, Terraform, AKS, security, networking, Windows/Linux administration , and exposure to GenAI application integration .