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3 часа назад

Software Engineer (Python)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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 (Python) (Cloud Infrastructure): Building and operating the Tidy3D simulation platform, including backend services, job scheduling, deployment pipelines, and production monitoring with an accent on multi-tenant cloud services and heterogeneous GPU capacity. Focus on designing control-plane APIs, managing version-compatible releases across cloud and on-premises deployments, and debugging production issues across Python clients and GPU nodes.

Location: Watertown, Massachusetts, United States; on-site

Company

hirify.global is a technology startup developing ultra-fast simulation technology for engineering applications, including aerospace, automotive, energy, and quantum computing.

What you will do

  • Design, build, and operate backend services for the Tidy3D cloud simulation platform.
  • Develop APIs, services, and data models for task submission, job state management, and result delivery.
  • Build scheduling and resource management for simulation jobs across heterogeneous GPU capacity.
  • Implement authentication, authorization, usage metering, and quota enforcement for a multi-tenant product.
  • Manage Python package releases, CI/CD, staged rollouts, rollbacks, and deployment patterns for cloud, customer-managed cloud, and on-premises installations.
  • Own monitoring, alerting, incident response, debugging, and cloud cost and capacity management.

Requirements

  • 2+ years of experience building and operating production cloud services; exceptional new graduates are also encouraged to apply.
  • Strong Python experience developing backend services.
  • Hands-on experience with a major cloud provider such as AWS, Docker, and Kubernetes.
  • Production infrastructure-as-code experience, ideally with Terraform and reusable modules.
  • Fluency with Linux and confidence operating production systems.

Nice to have

  • Experience with GPU or HPC workloads, cluster schedulers such as Slurm, Ray, or Kueue, or high-throughput batch computing.
  • Experience designing, packaging, and distributing Python libraries or SDKs.
  • Experience with on-premises, self-hosted, or air-gapped deployments and enterprise requirements such as SSO, network isolation, and security reviews.
  • Background in physics, engineering, scientific computing, or technical software for technical users.
  • Open-source contributions to infrastructure or scientific computing projects.

Culture & Benefits

  • Equity in a fast-growing startup.
  • Medical, dental, and vision insurance.
  • 401(k) contribution.
  • Gym allowance.
  • Friendly, thoughtful, and technically strong coworkers.

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