Staff Software Engineer – Platform

Job not on LinkedIn

🕒 February 25

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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11 - 50 employees

💰 $7M Seed Round on 2024-02

Bespoke Generative AI for financial services.

📋 Description

• 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.

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

🏖️ Benefits

• Exceptional traction: strong PMF with the world's largest investment banks, hedge funds, and private equity firms. • World-class team: we take talent density seriously. We like working with incredibly smart, driven people. • Velocity: we work fast, which means you learn a lot and constantly take on more. • Frontier technology: we're developing cutting-edge AI systems, pushing the boundaries of reinforcement learning and published research, redefining what's possible, and inventing the future. • Cutting Edge Product: Our platform is state-of-the-art and crazily powerful. We're creating tools that make people smarter, reinventing finance works.