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9 часов назад

Staff Software Engineer, Infrastructure (AWS)

Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
France/UK/US +6 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Staff Software Engineer, Infrastructure (AWS): Designing and scaling data pipelines and cloud systems for an autonomous driving platform with an accent on reliability and performance. Focus on building scalable computation systems, integrating on-prem and cloud data flows, and implementing infrastructure-as-code.

Location: Remote (US, Canada, Europe) or Hybrid in Atlanta, NYC, or South San Francisco

Company

hirify.global is a Series A startup transforming ground handling through autonomy for airlines and ground service providers globally.

What you will do

  • Design and maintain scalable data pipelines to move operational data from on-prem systems to AWS cloud infrastructure.
  • Architect cloud-based systems for scalable computation, data processing, and system telemetry.
  • Build and manage CI/CD pipelines for rapid software delivery across simulation and real-world testing environments.
  • Implement infrastructure-as-code using Terraform and CloudFormation for automated provisioning.
  • Develop internal services and automation tools to streamline data ingestion and observability.
  • Collaborate with autonomy and systems engineers to define scalable data interfaces and deployment strategies.

Requirements

  • 7+ years of experience building cloud infrastructure and data systems for large-scale distributed systems.
  • Strong proficiency in Python with a focus on data pipeline development and automation.
  • Hands-on experience with Kafka, Kubernetes, and gRPC.
  • Deep expertise with AWS cloud services (compute, storage, and data processing).
  • Proficiency with containerization (Docker) and CI/CD platforms (Jenkins, GitHub Actions, or CircleCI).
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.

Nice to have

  • Experience integrating on-prem and cloud data flows in a hybrid environment.
  • Background in data engineering for robotics, autonomous systems, or real-time operational data.
  • Knowledge of monitoring tools such as Prometheus, Grafana, or the ELK Stack.
  • Experience supporting safety-critical, real-time, or high-availability systems.

Culture & Benefits

  • Work at a high-growth Series A company backed by top-tier aviation and autonomous driving VCs.
  • High level of ownership, designing systems from the ground up rather than inheriting a finished stack.
  • Clear path to technical leadership as the engineering team scales.
  • Opportunity to work at the intersection of cloud infrastructure and cutting-edge autonomous robotics.

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