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3 месяца назад

Principal Systems Engineer (Data)

Формат работы
hybrid
Тип работы
fulltime
Грейд
principal
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

Principal Systems Engineer (Data): Define, design, and execute strategic technical architecture for highly visible, critical data infrastructure with an accent on scaling data platforms, managing secure access, and creating data pipelines and products. Focus on working across technologies like Kubernetes, Trino, and Go to automate data accessibility and usefulness while mentoring junior engineers.

Location: Hybrid, based in Austin, USA

Company

hirify.global operates one of the world’s largest networks, powering millions of websites and internet properties for diverse customers, protecting and accelerating online applications without hardware or software installation.

What you will do

  • Define, design, and execute strategic technical architecture for critical data infrastructure.
  • Lead the design and development of tools and infrastructure to improve and scale hirify.global's data infrastructure.
  • Lead the design and development of data pipelines and data products to serve customers throughout the company, including tools to automate delivery.
  • Become a subject matter expert across data platforms, tools, infrastructure, and data itself to guide and enable stakeholders.
  • Work across a tech stack including Kubernetes, Trino, Iceberg, Clickhouse, PostgreSQL, Go, Javascript/Typescript, and Python.
  • Mentor and support junior engineers on the team, reinforcing a culture of exceptional delivery and accountability.

Requirements

  • 8+ years of experience as a software engineer with a focus on designing, building, and scaling data infrastructure.
  • Proven experience leading technical initiatives in a cross-functional context, working with multiple stakeholders.
  • Extensive experience with data infrastructure at scale, including tools like Trino, Spark, Iceberg/Delta Lake, Kafka, Clickhouse, and PostgreSQL.
  • Background designing, building, and debugging data pipelines at scale.
  • Proficient using backend languages like Go, Python, Typescript, and Rust, along with SQL.
  • Excellent analytical skills, with a focus on understanding data, and strong communication skills.

Nice to have

  • Experience with data orchestration and infrastructure platforms like Airflow and DBT.
  • Experience deploying and managing infrastructure in Kubernetes.
  • Experience with data governance platforms and processes, with a focus on privacy and auditability.
  • Knowledge about machine learning models and MLOps.

Culture & Benefits

  • Mission-driven to help build a better Internet and protect the free and open Internet (e.g., Project Galileo, Athenian Project, 1.1.1.1).
  • Committed to providing equal employment opportunity, valuing diversity and inclusiveness.
  • Provides reasonable accommodations to qualified individuals with disabilities.
  • Focus on significant improvement in performance and a decrease in spam and other attacks for customers.

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