Software Engineer (Compute Infrastructure)

• We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team
• We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed
• Render’s mission is to eliminate the undifferentiated work that goes into building software products by offering an easy-to-use, powerful cloud platform for developer teams of all sizes
• We are scaling rapidly. Our customers have created millions of services on our platform, and the numbers continue to accelerate. Our customers trust us to deliver a secure, reliable and performant cloud — this is our top priority as a company
• By joining us at an early stage, you will design and build the cloud platform you’ve always wanted for yourself, and make decisions that will shape our product and company, directly impacting developers around the globe
• Render builds and orchestrates a growing number of kubernetes clusters on different hyperscalers and recently, our own hardware
• We leverage open source and industry-standard technologies, modifying and extending the core components to meet the unique reliability, performance, and scaling demands of our platform
• Areas of focus for the team this year will unlocking bottlenecks to scale our clusters while also automating the multi-step creation, configuration, testing, and tuning of Render clusters
• We will expand Render to new regions, our own bare metal, and start orchestrating micro VMs outside of Kubernetes entirely
• Own Render’s core compute infrastructure across multiple cloud providers, regions, and data centers. You’ll 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

Benefits

• Monthly commuter stipend
• Fully stocked kitchen
• 12 weeks of paid parental leave
• 4 weeks PTO
• 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and all your dependents
• FSAs
• $60 per month for however you prefer to stay in shape
• $100 per month for mental health support
• Traditional or Roth 401(k) plans
• Long-term disability and life insurance
• Equity options
• Continuous learning benefits & related support

• We’re seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively
• We are looking for engineers with deep specialization in cloud and compute infrastructure
• We are particularly interested in experience with Kubernetes and container orchestration, micro VMs, controllers, operators, and the automation and self-healing of large scale distributed systems
• Comfort going broad and deep in a complex systems, making tradeoffs to improve performance and efficiency without sacrificing reliability
• Strong experience designing, debugging, and operating distributed systems
• Experience developing in Go, Rust, or similar languages to develop custom infrastructure components, scheduling, controllers, that apply business logic to resource management
• Deep expertise in operating, scaling, and enhancing Kubernetes clusters or similar resource/container orchestration system
• At least 7 years of experience building and operating large-scale platform or compute infrastructure
• Experience planning and executing rapid, high-risk upgrades, changes with minimal downtime to user services
• If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need
• Experience optimizing the performance of node, pod, and container spin-up times
• Familiarity with eBPF, Linux kernel internals, resource management
• Background in virtualization technologies like Firecracker, gVisor, Kata, or similar
• Comfort securing and isolating workloads in multi-tenant execution environments