Cloud Engineer Automation

Working for a company like Smile Digital Health means supporting our mandate for #BetterGlobalHealth . We strive towards this goal every day, and the results can be seen in the impact of our innovative health data platform and data management solutions, which are used in over 20 countries. We were #19 on Deloitte's Technology Fast 50 Ranking for 2024! Smile Digital Health makes it easy for healthcare stakeholders to collect and exchange data with our leading FHIR-based data liberation platform. At its heart, the Smile platform enables people and organizations to better manage healthcare data. We help generate and liberate structured healthcare data to ensure effective delivery across care teams and health systems bringing #BetterGlobalHealth to patients everyday! Apply today and find plenty of reasons to SMILE! The Cloud Engineer (Automation) is responsible for designing, building, operating and improving production-grade automation for Smile Digital Health, its clients and partners. This role will be responsible for the pipelines, infrastructure as code, environments and recovery procedures, that the platform runs on. This Engineer will merge direct platform engineering expertise with driving strategic changes in how the department designs, deploys, and maintains its infrastructure. Key responsibilities include managing build and release engineering, orchestrating the Terraform and Helm infrastructure, provisioning on-demand environments, and implementing automated recovery. This role works closely with Platform Engineering, Solution Engineering, Service Operations and Engineering Practice & QA to remove unnecessary repetitive, manual work and effectively optimize a build from the time the client commits to a running environment faster, decrease platform costs, and utilize AI to enhance the platform’s engineering and operations. \n Responsibilities: Own build and release engineering by reviewing the current repositories and CI setup, then consolidate duplicated Azure DevOps pipeline YAML onto shared reusable templates with change detection and automated quality gates. Identify and eliminate manual efforts for cross-functional teams and replace them with scheduled, auditable automation. For example, automating patching, certificate and secret rotation, environment scaling, and recurring reports Implement GitOps-based continuous delivery - declarative, Git-driven deployments with automated reconciliation, drift detection and rollback. Automate line-of-business environments end to end, provisioned and torn down on demand across every Azure service and application involved. Automate business continuity and disaster recovery through backup validation, restore and failover, recurring DR drills, and measured RTO and RPO. Ensure Helm and Terraform are easy to upgrade by charting reuse and configuration validation, versioned modules, and state boundaries that limit how far an upgrade reaches. Run in-cluste