$ cat jobs/staff-software-engineer-platform-rogo-f837f9cf72aa.json
Staff Software Engineer: Platform
Why Rogo Our mission is to transform global finance by empowering professionals at the world's top investment banks, private equity funds, and investment firms with AI that delivers unparalleled speed, accuracy, and insight. We're not just improving financial workflows; we're redefining them. This is a unique opportunity to join a generational company driving transformation in one of the most important industries in the world. With a rapidly growing, global client base, proven product-market fit, and backing from world-class investors, we are scaling quickly and defining a new category of enterprise AI. Our team is sharp, motivated, and deeply committed to Rogo’s mission. We take ownership of complex problems and stay relentlessly focused on our users. If you thrive in a fast-paced environment, demand excellence, and want to help build the future of finance, we invite you to join us. THE ROLE We’re looking for a Staff Platform Engineer to define and lead the technical direction of our platform as we scale 10x+ in enterprise customers. This is a hands-on, high-impact role responsible for architecture, reliability, and developer experience across our Kubernetes-based infrastructure. You will solve hard technical problems, raise the engineering bar through your work, and be a key technical partner to product engineers across the company. WHAT YOU WILL OWN PLATFORM RELIABILITY & SCALABILITY - Design and implement scalable solutions within our Kubernetes-based platform for secure enterprise workloads. - Define and contribute to reliability initiatives: SLOs, capacity planning, and resilience improvements. - Identify and resolve system misconfigurations and architectural risks. - Build systems that support 10x customer growth with clear failure modes and mitigation strategies. INFRASTRUCTURE AS A PRODUCT - Own and continuously improve internal platform systems: deployments, environments, and developer tooling. - Drive improvements to reliability, observability, and operat
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