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Mid-senior metro role with broad data/cloud requirements and a known enterprise brand increases competition.
Role requires specialized Azure AI Foundry and Snowflake/cloud infrastructure skills, limiting cross-industry transferability.
Explicit 7–9 years requirement plus mandatory Azure Foundry, Snowflake, Kubernetes, Terraform, and CI/CD skills.
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Design, develop, and maintain backend services and cloud-native applications primarily on Azure using microservices architecture.
Build and automate CI/CD pipelines for application code and Azure AI Foundry models/agents while managing containerized deployments on Kubernetes (AKS).
Automate infrastructure provisioning with Terraform and implement monitoring and observability for cloud/AI workloads ensuring production reliability and security.
7–9 years of combined DevOps and software development experience.
Bachelor's degree in Computer Science, Engineering, or related field (or equivalent hands-on experience).
Strong experience with Azure Cloud, Azure AI Foundry (model deployment and agent operations), Kubernetes, Docker, and Infrastructure as Code using Terraform.
Proficient in Python, Java, SQL (Snowflake preferred), CI/CD automation with GitHub Actions, REST API design, and observability tools like Prometheus and Grafana.
Experienced in microservices development using Java/Python/Node.js with solid scripting and secure coding practices.
Proficient in managing end-to-end Azure Foundry deployments, Git branching strategies, and release governance in cloud-native environments.
Skilled in debugging, performance tuning, infrastructure automation, and collaborating across AI, engineering, and product teams to optimize cloud and AI workloads.