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5 часов назад

Software Engineer (DataOps)

140 000 - 170 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Software Engineer (DataOps): Building and maintaining core systems for the Astro platform with an accent on public APIs, authentication, and billing frameworks. Focus on developing scalable, reliable backend infrastructure and collaborating with cross-functional teams to deliver high-impact data orchestration features.

Location: Must be based in or able to work from New York City (Hybrid)

Salary: $140,000–$170,000

Company

hirify.global is the company behind Apache Airflow, providing a unified DataOps platform that empowers teams to build reliable data products and unlock AI value.

What you will do

  • Contribute to the development of Astro Platform architecture and core components under senior guidance.
  • Collaborate with cross-functional teams to implement and iterate on platform features.
  • Work with frontend developers and product management to deliver customer-facing APIs and UI experiences.
  • Apply best practices for building reliable, scalable platform software.
  • Ensure overall platform usability, reliability, and scalability.

Requirements

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or equivalent experience.
  • Interest in building performant, scalable, and reliable backend systems.
  • Exposure to at least one backend programming language (Go, Python, Java, etc.).
  • Familiarity with SQL databases and distributed systems concepts.
  • Understanding of software development best practices including testing, version control, and debugging.
  • Experience leveraging AI coding assistants and LLMs for development acceleration.

Nice to have

  • Internship or co-op experience in a software engineering role.
  • Contributions to open source projects.
  • Experience with Go.
  • Experience with Apache Airflow or related workflow orchestrators.

Culture & Benefits

  • Comprehensive benefits package including equity.
  • Collaborative environment working with industry-leading data infrastructure.
  • Focus on professional growth and tackling complex technical challenges.
  • Commitment to diversity and equal opportunity employment.

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