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 operational workflows.
Act as a force multiplier for product engineers by building guardrails (not gates) and self-serve tooling.
Systems Thinking
Bring structure and rigor to complex infrastructure problems.
Contribute to internal engineering standards and design principles.
Work cross-functionally with engineering, product, and leadership to unblock and accelerate delivery.
What You Will Need
Extensive, production-grade Kubernetes scaling experience
(not just operating clusters, but growing them significantly from early-stage to production-critical workloads).Deep understanding of distributed systems tradeoffs.
Previously worked in:
Big tech → then startup
Or startup that successfully scaled infrastructure.
Strong systems mindset.
Comfortable operating in ambiguity.
Enjoys being a technical owner with broad company impact.
Bonus
Experience with single-tenant architectures.
Background in financial services or regulated environments.
Familiarity with banking-level security and data governance.
Who You Are
You thrive in fast-paced environments. You are high-intensity and care a lot about what you do, and you're ecstatic to work at a startup.
You are ambitious. You have fun solving problems that others think are impossible.
You are curious. You find joy in learning about AI, technology, and finance.
You are an owner. You are autonomous, self-directed, and comfortable working with ambiguity.
You are collaborative, organized, thoughtful, and kind.
Why Join Rogo?
Up and to the right: Rogo has strong product adoption with the world's leading financial institutions, and we are still early. The upside is enormous.
Extraordinary team: we take talent density seriously. You'll do the best work of your career alongside some of the sharpest people in AI and finance.
A one-of-one problem: bringing AI to the core of how Wall Street works is one of the most ambitious, technically demanding, and consequential problems today. There is nowhere else you can work on it at this scale.
Real ownership: You'll own real surface area and watch the world's most sophisticated users rely on your work.
Always at the frontier: we work at the edge of what the best models can do and turn it into products people trust. If you're obsessed with AI, this is where it's happening.