Staff Software Engineer: Platform

Rogo•New York, NY

About The Position

At Rogo, we are building Wall Street's first true AI analyst. Our mission is to empower finance professionals at the world’s top investment banks, private equity funds, and investment firms with AI that delivers unparalleled speed, accuracy, and insight. We are not just improving financial workflows; we are redefining them from the ground up. This is a unique opportunity to join a generational company at a key inflection point. With a rapidly growing 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 the mission. We operate with intensity, 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. 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.

Requirements

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.

Nice To Haves

Experience with single-tenant architectures.
Background in financial services or regulated environments.
Familiarity with banking-level security and data governance.

Responsibilities

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.
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.
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.