Reflection

Member of Technical Staff - Platform Foundations

Reflection
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7 months ago
London, United Kingdom +2 moreSenior
H1B sponsor

Responsibilities

  • Define and maintain golden paths for cloud projects, networking, and access patterns.
  • Ship secure defaults and guardrails that make safe infrastructure usage easy.
  • Build and operate networking primitives including routing, DNS, load balancing, and connectivity.
  • Establish baseline observability and operational hygiene across services and infrastructure.
  • Own developer infrastructure including build systems, caching, and test infrastructure.
  • Drive cloud cost visibility and reduction through tooling, guardrails, and optimization.
  • Provide reliable, scalable developer infrastructure and SRE capabilities across the company.

Requirements

  • Strong infrastructure or platform engineering background with experience shipping production-grade systems.
  • Deep expertise in at least one of cloud platforms, network engineering, security architecture, or developer tooling, with working knowledge across the others.
  • Experience navigating complex multi-team environments, debugging difficult infrastructure problems, and building for reliability and scale.
  • Ability to collaborate and communicate clearly across research and infrastructure teams.
  • Motivation to build new systems and secure, self-service foundations for open-weight AI systems.

Benefits

  • Top-tier compensation with salary and equity.
  • Comprehensive medical, dental, vision, life, and disability insurance.
  • Fully paid parental leave for all new parents, including adoptive and surrogate journeys.
  • Financial support for family planning.
  • Paid time off.
  • Relocation support.
  • Lunch and dinner provided daily.
  • Regular off-sites and team celebrations.

Tech Stack

Categories

Reflection

About Reflection

201-500 employees

Reflection is a New York–based, privately held research lab developing open foundational AI models and agentic coding tools for developers, enterprises, and public-sector users. The team includes former researchers from DeepMind, OpenAI, and Anthropic, and their work focuses on transparent, customizable systems that organizations can deploy with ownership and control.

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