Knowledge Solutions Engineer

We are looking for candidates with a Bachelor’s degree (B.A.) from an accredited four-year institution and at least 5 years of practical experience utilizing Terraform for Infrastructure as Code (IaC) and other DevOps tools and methodologies, especially Azure DevOps (build, release, pipelines, repos, artifacts). A good familiarity with deploying microservices and front-end applications based on ReactJS in the Azure environment is preferred. We expect excellent written and verbal communication skills, strong scripting abilities in Bash, PowerShell, or similar languages for automation tasks, and a solid understanding of networking, load balancing, and cloud security principles. Experience with Kubernetes (particularly AKS) and monitoring/logging tools such as Azure Monitor, Grafana, Prometheus, or Application Insights is essential. Familiarity with GenAI MLOps practices (like model versioning and fine-tuning workflows) along with performance/load testing tools (like JMeter or k6) would be a plus. We also value project management and problem-solving skills, as well as a proven track record of deploying and managing services in Microsoft Azure, including App Services, Container Apps, AKS, and other critical components. Furthermore, experience with Docker, especially in containerizing applications and managing container lifecycles, is required. This role will also benefit from experience in deploying and supporting Generative AI applications (e.g., LLMs, RAG pipelines) in a cloud setting and familiarity with GitHub Actions, CircleCI, or other CI/CD tools. Knowledge of serverless architecture in Azure (such as Azure Functions, Logic Apps) and familiarity with secrets management solutions like Azure Key Vault, HashiCorp Vault, or AWS Secrets Manager is advantageous.