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Вакансия опубликована 13 дн. назад - шансы на ответ снижаются.

обновлено 13 дней назад

Backend Engineer (Experiments)

7 500 - 10 000$
Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
RUВакансия из Hirify RU, списка российских tech-компаний

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Описание вакансии

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TL;DR
Backend Engineer (Experiments) (Python/data-heavy systems): Building backend services and reporting pipelines for an experimentation platform used to allocate traffic, log exposures, compute metrics, and analyze production experiments with an accent on correctness, observability, scalability, and product usability. Focus on designing reliable Python services, improving data-heavy reporting performance, and adding UI capabilities for launching experiments and interpreting results.

Location: Fully remote; open to candidates based anywhere outside of Russia. Preferred time zones are UTC+1 to UTC+7, with flexibility.

Salary: $7,500–$10,000 per month net; the benefits section also lists a base salary of $80,000–$120,000 USD per year, plus stock options.

Company

Constructor is a U.S.-based product company building an AI-powered search and discovery platform for e-commerce at extreme scale.

What you will do

  • Build and maintain backend services for experiment assignment, exposure logging, and report generation.
  • Improve the scalability, performance, and reliability of experiment reporting pipelines.
  • Add product-facing features to the Plotly Dash UI for launching experiments and interpreting results.
  • Take technical ownership of projects by shaping solutions, breaking down work, and driving execution.
  • Participate in a weekly on-call rotation and investigate occasional issues.
  • Collaborate with Search, Recommendations, ML/DS, and customer-facing teams.

Requirements

  • Strong experience building and owning production backend services in Python.
  • Experience with monitoring, alerting, and debugging user-facing systems.
  • Strong SQL skills and confidence working with data-heavy systems, including metrics, logging, and analytics.
  • Ability to ship maintainable software through testing, code review, and incremental delivery.
  • Ability to turn ambiguous problems into executable technical plans and take ownership of solutions.
  • Technologies include Python, FastAPI, PostgreSQL, Plotly Dash, PySpark/Databricks, AWS, CloudWatch, and Sentry.

Nice to have

  • Experience with experimentation systems, metrics platforms, or A/B testing workflows.
  • Experience with PySpark and/or Databricks.
  • Ability to ramp up effectively in a data-heavy experimentation domain.

Culture & Benefits

  • Fully remote work with flexibility in preferred time zones.
  • Unlimited vacation, with encouragement to take at least three weeks annually.
  • Work-from-home stipend and Apple laptop provided for new employees.
  • Annual training and development budget.
  • Maternity and paternity leave for qualified employees.
  • Stock options and regular team offsites.

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