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Conversion

Backend Engineer (Infra)

San Francisco Office$175k–$225kfulltimemidAdded 1 month ago

About this role

Conversion, an AI-powered marketing automation platform backed by $28M+ in funding, seeks a Backend Infrastructure Engineer to build and maintain the reliable, scalable systems that power their platform. You'll work on critical infrastructure handling terabytes of data syncs, complex workflows, and millions of emails, focusing on enabling product engineers to ship faster and more reliably.

What you'll do

  • Design and operate cloud infrastructure, CI/CD pipelines, and deployment tooling on GCP
  • Build and maintain platform systems that support high-scale data streaming and job execution
  • Enable product engineers through improved developer tooling and internal platforms
  • Manage and optimize databases including PostgreSQL and ClickHouse for performance and reliability
  • Balance infrastructure improvements with startup pragmatism and product delivery needs
  • Support systems handling mission-critical go-to-market processes and revenue-generating workflows

What they're looking for

  • Cloud infrastructure and platform engineering (GCP)
  • Go programming language
  • Kafka and large-scale data streaming
  • Temporal framework for durable job execution
  • PostgreSQL and ClickHouse databases
  • CI/CD and deployment tooling
  • Developer tools and internal platform building
  • System design and operational reliability

Benefits

  • Early-stage startup with significant funding and rapid growth potential
  • Work on technically challenging, high-impact infrastructure problems
  • 5 days/week in-office in San Francisco with team from Airbnb, Palantir, Pinterest, and other top companies
  • Opportunity to influence engineering practices and culture from early stage
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Conversion

Conversion builds an AI-powered marketing automation platform that handles massive data syncs, complex workflows, and email delivery at scale. The company is hiring backend infrastructure engineers and GTM engineers to build reliable systems and optimize go-to-market infrastructure.

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Likely interview questions

  • Tell us about a time you built or operated internal infrastructure that directly improved how other engineers shipped features. How did you measure the impact?
  • Describe your experience with Kafka or similar streaming systems at scale. What was the largest data pipeline you've built, and what were the operational challenges?
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