Software Engineer, Compute Infrastructure

Join Render as a Software Engineer to build a modern cloud platform for AI-native applications. Work on Kubernetes, container orchestration, and large-scale distributed systems with a focus on performance and reliability. At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 6 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $257M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.

• •Own Render's core compute infrastructure across multiple cloud providers, regions, and data centers.
• •Shape how we evolve our compute platform as we rapidly scale.
• •Design and build capabilities that give users greater performance and flexibility in how their services are built, deployed, perform, and stay available even when underlying resources go down.
• •Investigate challenging cloud and compute issues across the stack, from the kernel and data plane to our Kubernetes cluster, control plane, and other orchestration mechanisms.
• •Improve the performance and reliability of our infrastructure through systematic profiling, experimentation, and tuning.
• •Partner with engineers across the company to build a platform that is stable, predictable, and secure.
• •Participate in our on-call rotation.
• •Help continuously improve how we detect, respond to, and learn from incidents.

• •Salary: $170K – $290K.
• •Offers Equity.