Job Description

We are looking for a Cloud Engineer Lead to join our team.\n\nThe Engineering Lead is responsible for leading the design, development, delivery, and\noperational excellence of a cloud-native enterprise software product running on Microsoft\nAzure. This role provides technical leadership to cross-functional engineering teams,\nestablishes engineering standards and architecture guardrails, and ensures delivery of\nscalable, secure, reliable, and AI-enabled solutions.\nThe Engineering Lead partners closely with Product Management, Solution Architecture,\nDevOps, Security, UX, Data, and AI engineering teams to deliver innovative software\ncapabilities that create measurable business value. The role combines hands-on technical\nleadership with people leadership, mentoring, and strategic technology planning\n\nRequirements:\n*Bachelors degree in Computer Science, Software Engineering, Information Technology, or\nrelated field.\n Masters degree preferred.\n 10+ years of professional software development experience.\n 3+ years leading software engineering teams.\n Proven experience delivering enterprise-scale software products.\n Experience operating mission-critical applications in cloud environments.\n Strong proficiency in one or more modern programming languages such as:\n C\n Java\n TypeScript\n Python\nMicrosoft Azure\nDevSecOps\nAI & Data\nWorking knowledge of:\nLeadership Competencies\n Experience with API design and microservices architecture.\n Knowledge of modern software design patterns and distributed systems.\n Hands-on experience with Azure services including:\n Azure App Services\n Azure Functions\n Azure Kubernetes Service (AKS)\n Azure Container Registry\n Azure API Management\n Azure Storage\n Azure SQL Database\n Azure Cosmos DB\n Azure Service Bus/Event Grid\n Azure Monitor and Application Insights\n Azure DevOps and GitHub\n CI/CD automation\n Infrastructure as Code (Terraform, Bicep, ARM)\n Security-by-design principles\n Automated testing and deployment practices\n Cloud observability and monitoring\n Generative AI concepts and architectures\n Large Language Models (LLMs)\n Prompt engineering\n Retrieval-Augmented Generation (RAG)\n AI Agent architectures\n Azure AI Services\n Azure AI Search\n Azure OpenAI Service\n Vector databases and semantic search\n Responsible AI principles and governance\n AI evaluation and monitoring techniques\nJoin with us!",