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1 день назад

Staff Software Engineer, User Targeting

184 000 - 314 079$
Формат работы
hybrid
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
Staff Software Engineer, User Targeting (Ruby/ClickHouse/Data Pipelines): Building and owning large-scale segmentation systems, real-time data pipelines, APIs, and customer-facing dashboard experiences that process billions of users per day with an accent on architecture, performance, reliability, and cost. Focus on extending ClickHouse pipelines, leading distributed systems initiatives, improving operational stability, and mentoring engineers across a high-impact customer engagement platform.

Location: Hybrid in New York City, United States

Salary: $184,000–$314,079 annual base pay for candidates based in the United States; expected OTE of $204,000–$348,000 including bonus or commission.

Company

hirify.global provides a customer engagement platform for personalized cross-channel messaging, journey orchestration, and AI-powered marketing decisioning.

What you will do

  • Architect and build large-scale real-time systems and services for segmentation, targeting, and complex data workloads.
  • Extend ClickHouse pipelines to support new filters and user attributes.
  • Own customer-facing products from problem definition through launch, adoption, and continuous improvement.
  • Improve the performance, reliability, and cost-effectiveness of core segmentation systems and backend services.
  • Lead architectural direction, mentor engineers, and collaborate with engineering, product, and other stakeholders.
  • Maintain operational procedures including alerts, on-call rotations, and troubleshooting playbooks.

Requirements

  • 7+ years of professional software engineering experience, including full-stack or backend work on high-scale, high-throughput systems.
  • Experience delivering customer-facing products on high-scale data systems from problem definition through launch and adoption.
  • Experience building streaming systems, real-time pipelines, or large-scale data platforms.
  • Strong software design, data structures, algorithms, architectural leadership, and technical communication skills.
  • Excellent communication and organizational skills with the ability to work effectively in a team environment.

Nice to have

  • Experience with Ruby, Ruby on Rails, TypeScript, React, Sidekiq, and SQL or NoSQL databases.
  • Experience with MongoDB, ClickHouse, Snowflake, or other data lake technologies.
  • Experience with Kubernetes, AWS, GCP, or Azure.
  • Knowledge of distributed systems, API design, monitoring, and operational best practices.

Culture & Benefits

  • Hybrid work environment with a curated in-office experience.
  • Equity grants, retirement and employee stock purchase plans, and flexible paid time off.
  • Medical, dental, vision, life, disability, fertility, and equal paid parental leave benefits.
  • Professional development through career pathing, learning platforms, and an annual learning stipend.
  • Employee resource groups, community volunteering opportunities, and donation matching.

Hiring process

  • AI-assisted tools may be used to review applications, schedule and record interviews, and summarize interview notes.
  • Candidates may opt out of AI-assisted application review and request an alternative process where applicable.

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