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5 дней назад

Staff Software Engineer (Geospatial Search)

194 650 - 263 350$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR

Staff Software Engineer (Rust/TypeScript): Building and optimizing a premium geospatial search engine and the Places API with an accent on API performance, system durability, and high-performance search indexes. Focus on designing long-term technical architectures, scaling global datasets, and mentoring engineering teams.

Location: Must be based in the United States

Salary: $194,650 – $263,350

Company

Leading real-time location platform powering navigation for people, packages, and vehicles worldwide.

What you will do

  • Architect and optimize robust API services for the Places API, focusing on deployment and telemetry.
  • Define long-term technical architecture and scalability strategies for geospatial search.
  • Mentor engineering teams and establish rigorous code quality standards and development workflows.
  • Design and run experiments to evaluate the reliability and capacity of user-facing navigation products.
  • Collaborate with automotive OEMs and mapping firms to align the product roadmap with market trends.
  • Implement end-to-end features and participate in on-call rotations.

Requirements

  • 7+ years of experience in web services using Rust or TypeScript (Node.js).
  • Proven experience with highly-available API services in AWS (Docker, ECS, Kubernetes).
  • Strong knowledge of distributed systems, fault-tolerance, and consistency.
  • Ability to design technical strategies that balance product delivery with technical debt reduction.
  • Must have US work authorization (E-Verify participant).
  • Excellent communication and cross-functional collaboration skills.

Nice to have

  • Prior experience in the mapping, navigation, or automotive industry.
  • Knowledge of machine learning techniques for geospatial data analysis.
  • Contributions to open-source geospatial or data analysis projects.

Culture & Benefits

  • Supportive health care and parental leave.
  • Flexibility for life events and a strong emphasis on teaching and learning.
  • Inclusive environment that encourages diversity across all backgrounds.
  • Commitment to a fair and equitable hiring process.

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