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Rogo

Generative AI for financial research automation

Software Engineer: Platform

Platform EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$250k - $315k /yrIn-person

About the Job

Requirements

  • Extensive production-grade Kubernetes scaling experience, including growing clusters significantly from early-stage to production-critical workloads.
  • A deep understanding of distributed systems tradeoffs.
  • Prior experience at a big technology company followed by a startup, or at a startup that successfully scaled its infrastructure.
  • A strong systems mindset.
  • Comfort operating in ambiguity.
  • Enjoyment of technical ownership with broad company impact.

Responsibilities

  • Design and implement scalable solutions within the Kubernetes-based platform for secure enterprise workloads.
  • Define and contribute to reliability initiatives, including service-level objectives, capacity planning, and resilience improvements.
  • Identify and resolve system misconfigurations and architectural risks.
  • Build systems that support tenfold customer growth with clear failure modes and mitigation strategies.
  • Own and continuously improve internal platform systems, including deployments, environments, and developer tooling.
  • Drive improvements to reliability, observability, and operational workflows.
  • Build guardrails and self-service tooling to help product engineers work more effectively.
  • Contribute to internal engineering standards and design principles.
  • Work cross-functionally with engineering, product, and leadership to unblock and accelerate delivery.

Desired Qualifications

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

About the Company

Rogo

Generative AI for financial research automation

Rogo builds a generative AI platform for financial institutions to automate research, workflows, and document creation by coordinating multiple AI models across proprietary and external content. Its model-agnostic orchestration lets users plug in different AI models and data sources to generate insights, reports, and outputs for analysts, traders, and portfolio teams. The platform serves investment banks, private equity, hedge funds, and asset managers, with deployments across 50,000+ professionals in 350+ firms, and it is expanding into wealth management and new regions in EMEA and APAC. Its goal is to help financial institutions scale research and documentation workloads and speed up decision-making by providing a flexible AI backbone that coordinates models, data feeds, and documents, differentiating through cross-model orchestration tailored to finance.

Company size
201-500
Company stage
Late Stage VC
Total funding
$345M
Headquarters
New York City, New York
Founded
2021

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