Senior Cloud Application Engineer
Posted May 15, 2026
WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further. Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. If this sounds exciting to you, let’s chat! What experience should you have:
-
8+ years of professional web application development experience. - Expert-level command of Go and Typescript with full-stack development experience. - Expert-level knowledge of Google Cloud platform, including VPC, Load Balancing, and web application architecture. - Strong background in web application architecture design, and best practices. - Extensive experience operating cloud run applications in production environments with high availability and scalability. - Proficiency with git workflows and understanding of agile application development processes (SDLC). Preferred Qualifications
-
Professional Cloud Developer certification. - Previous experience in a client-facing consulting role, managing diverse stakeholders and navigating complex organizational structures. - Direct experience supporting data science teams or building AI-driven applications. What you’ll be doing in this role:
-
Lead the architecture and implementation of complex web applications using Go, TypeScript (Svelte), and Python (FastAPI). - Design and optimize relational database schemas and queries using PostgreSQL, ensuring data integrity and performance. - Architect and manage the deployment of web applications on Google Cloud Platform, utilizing services such as Cloud Run, Cloud SQL (PostgreSQL), Vertex AI, and various Google Cloud APIs. - Develop maintainable and user-friendly interfaces using modern frameworks (e.g., Svelte, HTMX)