Staff Infrastructure Engineer, Cloud & Reliability ($200K - $260K + Equity) Real Estate AI

CoffeeSpace

Palo Alto (CA)

Presencial

USD 200 000 - 260 000

Tempo integral

Há 8 dias

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

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Resumo da oferta

CoffeeSpace, an AI-enabled unicorn-backed company, is seeking an experienced Infrastructure Engineer to own the reliability and performance of production infrastructure behind its AI products. You will design and evolve AWS architecture, manage production databases, and drive cost efficiency while maintaining high availability.

The role offers full-time employment in Palo Alto with ownership over critical infrastructure, collaboration across teams, and opportunities to directly influence

Qualificações

  • 8+ years of experience in infrastructure engineering, with a focus on cloud and reliability.
  • Hands-on experience with production ownership of AWS infrastructure, including operating and tuning PostgreSQL
  • Has measurably reduced latency or cost in production systems
  • Has been in high-growth startups or strong tech companies

Responsabilidades

  • Design and manage AWS architecture to support a rapidly growing AI platform.
  • Oversee production database operations, ensuring optimal performance and reliability.
  • Implement Infrastructure as Code (IaC) and CI/CD practices.
  • Monitor and enhance platform performance using Datadog and other tools.
  • Collaborate with cross-functional teams to support the platform's growth and scalability

Conhecimentos

Cloud architecture
PostgreSQL tuning
Production ownership
Reliability engineering
Cost optimization

Ferramentas

AWS
Datadog

Descrição da oferta de emprego

This role is being recruited by CoffeeSpace on behalf of an anonymous AI company specializing in solutions for the community association management industry.

We’re identifying a small number of exceptional infrastructure engineers from our network. If there’s a strong fit, we’ll introduce you directly to the team.

Compensation: $200K - $260K base + equity

Employment type: Full-time

About the company

This company provides AI solutions tailored for the community association management industry. With a team of 35, they have rapidly grown to manage over 6 million doors on their platform. Founded in 2022, they have achieved unicorn status with $350M in funding and are backed by top-tier investors.

Their AI products have scaled from zero to millions in revenue within months, demonstrating significant market traction and impact.

About the role

You will be responsible for the reliability, performance, and cost management of the production infrastructure behind the company's AI products. This hands‑on role includes designing and evolving AWS architecture, managing production database operations, and setting high standards for platform reliability.

What You’ll Do

  • Design and manage AWS architecture to support a rapidly growing AI platform
  • Oversee production database operations, ensuring optimal performance and reliability
  • Implement Infrastructure as Code (IaC) and CI/CD practices
  • Monitor and enhance platform performance using Datadog and other tools
  • Collaborate with cross‑functional teams to support the platform's growth and scalability

Why This Role Is Compelling

  • Join a unicorn‑backed company experiencing 100% year‑over‑year growth
  • Own the reliability of a high‑stakes, real‑time AI product
  • Benefit from a strong company culture with an eNPS of +68
  • Enjoy full technical ownership and autonomy in your role

The Ideal Candidate

  • 8+ years of experience in infrastructure engineering, with a focus on cloud and reliability
  • Hands‑on experience with production ownership of AWS infrastructure, including operating and tuning PostgreSQL
  • Has measurably reduced latency or cost in production systems
  • Has been in high‑growth startups or strong tech companies

This is a real, active role that CoffeeSpace is recruiting for in close partnership with the hiring team. We don’t post speculative roles and work directly with teams on their actual hiring needs.

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