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20 часов назад

Product Engineer (Go)

150 000 - 250 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Product Engineer (Go) (Distributed Systems/Data Engineering): Building features for a fully managed real-time data streaming platform that replicates production databases into data warehouses and lakes with an accent on customer workflows, product UX, and reliable data infrastructure. Focus on developing encryption and schema-change capabilities, improving build automation, and working across TypeScript, Go, Kafka, Kubernetes, and cloud infrastructure.

Location: On-site in San Francisco’s Financial District, five days per week

Salary: $150,000–$250,000 base salary per year, depending on experience

Company

hirify.global provides a fully managed real-time data streaming platform that replicates production databases into data warehouses and data lakes with zero maintenance.

What you will do

  • Talk with technical customers to streamline workflows and improve product UX.
  • Build product features such as column exclusion, encryption, and schema change alerts.
  • Improve internal tooling and build automation for faster feature delivery and infrastructure management.
  • Work across distributed systems, infrastructure, and data engineering.
  • Interact directly with customers and contribute to product direction.

Requirements

  • Strong fundamentals in computer science or a related field.
  • 4+ years of web development experience and startup experience.
  • Comfort working across the stack and taking on multiple responsibilities.
  • Passion for building products that are easy to use and extensible.
  • Availability to work in person five days per week in San Francisco.

Nice to have

  • Proficiency writing in Go.

Culture & Benefits

  • Competitive equity package.
  • Healthcare and 401(k).
  • Unlimited paid time off.
  • Lunch and dinner provided.
  • Visa sponsorship available.

Hiring process

  • Experience and technical capabilities are evaluated based on the role’s full-stack, infrastructure, and data engineering scope.

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