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Further

Further - Cloud Engineer

Atlanta, Georgia; Cleveland, Ohio; Dallas, Texas - Hybrid5d ago
In OfficeMidNACloud ComputingArtificial IntelligenceCloud EngineerGoTypeScriptPythonPerformance ManagementClient Consulting

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Requirements

• 4+ years of professional web application development experience. • Strong command of TypeScript and either Go or Python with full-stack development experience. • Knowledge of Google Cloud Platform, specifically Load Balancing and web architecture. • Experience operating Cloud Run applications in production environments. • Proficiency with Git workflows and agile development processes (SDLC). • Preferred: Professional Cloud Developer certification or experience in client-facing consulting. • Preferred: • Successfully deploy and maintain high-availability cloud applications for client projects. • Consistently deliver clean, secure, and performant code that meets team standards. • Become a key contributor to the technical integration of AI-driven features into web interfaces. • Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more. • #LI-Hybrid • By submitting your application, you consent to our collection, processing and disclosure of the contained personal data in accordance with our data practices. If you are a resident of the U.S. state of California, you can read about our data practices and your related privacy rights here. If you are a resident of the European Economic Area, Switzerland or the United Kingdom, you can read about our data practices and your related privacy rights here.

Responsibilities

• Build and implement web applications using TypeScript (Svelte), Go, and Python (FastAPI). • Design and optimize PostgreSQL database schemas to ensure performance and data integrity. • Manage application deployments on GCP using Cloud Run and Cloud SQL • Develop user-friendly interfaces using modern frameworks like Svelte. • Collaborate with data science teams to integrate AI models into production APIs.

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