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8 часов назад

Principal Generalist Engineer (Distributed Systems)

Формат работы
remote (только Portugal)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Portugal
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 Generalist Engineer (Distributed Systems): Building reliable, scalable, and observable production systems across application services, distributed systems, infrastructure, data pipelines, and machine learning with an accent on end-to-end ownership, technical judgment, and operational reliability. Focus on debugging complex failures, optimizing performance and cost, designing reproducible ML pipelines, and deploying systems that remain dependable under load.

Location: Remote, Portugal

Company

hirify.global is an African financial platform providing payments, banking, credit, cross-border, and business management tools to businesses and individuals.

What you will do

  • Design and build reliable, scalable, observable production systems.
  • Own solutions end to end, from ambiguous problem definition and system design through implementation, deployment, and operations.
  • Work across application services, distributed systems, infrastructure, data pipelines, and ML systems.
  • Debug complex production issues and improve performance, latency, reliability, and cost efficiency.
  • Contribute to architecture, technical direction, maintainable code, documentation, and engineering standards.
  • Train, evaluate, deploy, and monitor ML models and reproducible pipelines when ML is the appropriate solution.

Requirements

  • Strong computer science fundamentals, including data structures and algorithms, operating systems, networking, and distributed systems.
  • Solid probability and statistics knowledge, with experience building production systems at scale.
  • Ability to work across Go, Java, Python, Rust, and SQL.
  • Understanding of system behavior under load and failure, with strong debugging and first-principles reasoning skills.
  • Experience with Linux, containers, Kubernetes, data systems, streaming systems, ML infrastructure, and performance optimization.

Culture & Benefits

  • Ownership-focused environment that values simplicity, curiosity, robust design, and clear communication.
  • Learning and development support, knowledge sharing, training, and internal technical talks.
  • Salary, pension, health insurance, paid leave, and other benefits.
  • Inclusive workplace focused on employee well-being and equal opportunity.

Hiring process

  • Initial recruiter conversation.
  • Take-home technical assessment followed by a discussion.
  • System design interview and final technical and behavioral interview with an executive team member.

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