Staff Software Engineer: Platform

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.

Responsibilities

Design and implement scalable solutions within 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 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

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; Thrives in fast-paced environments; Ambitious; Curious; Autonomous and self-directed; Collaborative, organized, thoughtful, kind

Nice to have

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

Benefits

Strong product adoption with the world's leading financial institutions while still early, with enormous upside; Extraordinary team with high talent density; One-of-one problem bringing AI to the core of Wall Street; Real ownership with real surface area; Always at the frontier of AI and turning capabilities into trusted products