Top Hybrid Software Engineer Jobs

As a Senior Backend Engineer, you will design and maintain scalable backend services, optimize system performance, and collaborate with frontend engineers on API integrations.

Craft the user experience for thousands of venues using Dusk, building performant web apps with React and TypeScript, and ensuring design consistency and UI performance.

As a Forward Deployed Software Engineer, you'll unblock enterprise customer deployments, translate bespoke requirements into scalable solutions, and enhance product capabilities while collaborating with sales and deployment teams.

The Partner Solutions Architect will drive integration solutions with partners, develop prototypes, influence product roadmap, and educate on Render's technology and APIs.

The Senior / Staff Frontend Engineer will design and implement high-quality UI components for a web application, focusing on data visualization and collaboration with design and backend teams. Responsibilities include mentoring, shaping frontend strategy, and maintaining best development practices.

The Director of Commercial Software Development leads technical efforts in developing innovative technology solutions, managing teams, and ensuring product delivery aligned with commercial growth.

The Lead Backend Engineer will design resilient high-throughput notification systems, manage distributed architecture, ensure performance and reliability, and lead the engineering team through mentorship and code reviews.

The Technical Artist: Avatar Systems will design and build avatar systems, integrating machine learning and procedural techniques to improve scalability and customization across platforms.

Lead design and implementation of AI-assisted underwriting front-end UX, own cross-platform frontend and design system, establish frontend patterns and standards, mentor and recruit engineers, rapidly ship and iterate features, and collaborate with design, product, and backend teams to create explainable, auditable human-in-the-loop workflows.

Own and evolve core backend microservices for an AI inference platform: build production-grade APIs, multi-tenant SaaS features (auth, RBAC, billing), design OLTP/OLAP data models, collaborate on multi-cloud orchestration, ensure reliability/performance, and drive engineering quality through testing and CI/CD.