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Software Engineer (L3) Data Substrate

138 700 - 203 900$
Формат работы
remote (только USA)
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
Software Engineer (L3) Data Substrate (Data Infrastructure): Building scalable infrastructure, distributed storage, and processing frameworks for Twilio data lakes with an accent on data ingestion, streaming pipelines, reliability, and security. Focus on architecting high-performance data systems, operating AWS-based platforms at scale, and solving complex distributed-systems challenges.

Location: Remote, United States. The role is not eligible for hiring in San Francisco, Oakland, San Jose, or the surrounding areas. Occasional travel may be required for project or team meetings.

Salary: $138,700–$173,400, $146,800–$183,600, or $163,100–$203,900 annually, depending on location. Equity and a corporate bonus plan may also be available.

Company

Twilio provides communications and data solutions that help businesses and developers build applications and customer experiences.

What you will do

  • Design, build, and maintain infrastructure and scalable frameworks for data ingestion, processing, and analysis.
  • Architect high-performance data systems, distributed storage solutions, and processing frameworks.
  • Build frameworks focused on performance, reliability, data quality, integrity, and security.
  • Translate business requirements into scalable technical solutions with cross-functional teams.
  • Contribute to large-scale data platform initiatives and mentor early-career engineers.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 5+ years of software development or related experience.
  • Experience architecting and delivering complex data projects at scale, with strong knowledge of data infrastructure and distributed systems.
  • Strong proficiency in Python, Java, Go, or Scala.
  • Experience with Spark, Kafka, Athena, ClickHouse, DynamoDB, distributed computing, streaming pipelines, REST APIs, and AWS at scale.
  • Strong software engineering, analytical, communication, and cross-functional collaboration skills.

Nice to have

  • Experience building data products and data lake products.
  • Bias toward action and the ability to iterate and ship rapidly.

Culture & Benefits

  • Remote-first work with a globally distributed organization.
  • Generous time off, parental and wellness leave.
  • Healthcare coverage and a 401(k) retirement savings program.
  • Paid sick time and personal time off.
  • Support for volunteering and community initiatives.

Hiring process

  • Hiring decisions are made by Twilio employees, with artificial intelligence used to support hiring efficiency.
  • Successful candidates complete a formal interview process.

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