Ascent

Cloud Engineer

• Design, implement, and maintain end-to-end Azure cloud infrastructure for scalability, security, and performance
• Build and manage multi-stage CI/CD pipelines using Azure DevOps
• Implement Infrastructure as Code (IaC) using Terraform and Terragrunt
• Configure and manage Azure networking components: Front Door, Application Gateway, Private Endpoints, Azure Monitor Private Link Scopes
• Deploy and manage Azure App Services ensuring high availability and performance
• Collaborate with application and security teams on cloud governance, monitoring, and alerting best practices
• Continuously improve DevOps processes, automation, and cloud deployment patterns

Senior Cloud Platform Engineer, Azure

AI Engineer

• Build and maintain scalable data pipelines and transformation workflows
• Implement data quality checks, validation frameworks, and monitoring systems
• Design and operationalize evaluation frameworks for datasets and ML outputs
• Package and deliver production-ready datasets with clear documentation and QA standards
• Develop ML-assisted tools and workflows to improve data processing and delivery efficiency
• Generate, augment, and validate synthetic datasets to support client and internal use cases
• Deploy lightweight ML/LLM-powered solutions to solve operational bottlenecks
• Work directly with delivery teams to implement and maintain production workflows
• Debug, troubleshoot, and resolve technical issues across data pipelines and systems
• Continuously improve tooling, processes, and measurement approaches used in delivery
• Identify and implement practical improvements that increase speed, reliability, and quality of delivery outcomes

Senior Cloud Platform Engineer, Azure

Senior Applied AI Engineer