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2 часа назад

Software Engineer, DevOps (Robotics)

115 000 - 170 000$
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

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TL;DR
Software Engineer, DevOps (Robotics) (Kubernetes/Docker/CI/CD): Building and operating cloud-native and edge infrastructure, CI/CD pipelines, and observability for distributed robotics and AI systems with an accent on reliability, scalability, and developer workflows. Focus on optimizing containerized deployments, supporting real-hardware field systems, and solving complex infrastructure challenges across robotics, ML, and platform engineering.

Location: Irvine, California, United States; on-site

Salary: $115,000–$170,000 per year

Company

hirify.global develops risk-aware, field-ready embodied AI systems for real robots, sensors, and deployments in unstructured environments.

What you will do

  • Build and maintain CI/CD pipelines for robotics, AI, and software systems using GitHub Actions.
  • Design and manage cloud-native, containerized infrastructure with Kubernetes, Docker, and related technologies.
  • Deploy and support workloads across cloud and edge environments.
  • Improve developer workflows through automation, tooling, and infrastructure enhancements.
  • Support testing, packaging, deployment, and observability for distributed robotics and AI systems.
  • Optimize build systems, monorepos, and deployment workflows while collaborating with robotics, ML, and platform engineering teams.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 3–7 years of experience in DevOps, Platform Engineering, Cloud Infrastructure, SRE, or related roles.
  • Strong experience with Kubernetes, Docker, cloud-native infrastructure, and CI/CD systems.
  • Strong scripting or programming skills in Python, Bash, Go, or similar languages.
  • Solid understanding of Linux systems, networking, and distributed systems fundamentals.
  • Strong problem-solving skills and ability to work across multidisciplinary teams.

Nice to have

  • Experience with robotics, autonomous systems, IoT, edge computing, MLOps, AI infrastructure, GPU workloads, or ML deployment pipelines.
  • Familiarity with ROS, Terraform, Helm, ArgoCD, or related infrastructure tooling.
  • Experience managing large monorepos, build systems, developer platforms, observability, and reliability systems.
  • Kubernetes certifications such as CKA, CKAD, or CKS.
  • Bias for action and comfort working in fast-moving, ambiguous environments.

Culture & Benefits

  • Work with real robots and sensors, testing systems on hardware and improving them through field deployments.
  • Collaborate with teams across AI, software, robotics engineering, product, field deployment, and technical communication.
  • Work alongside colleagues in Irvine, across the United States, and around the world.
  • Inclusive workplace with hiring and employment decisions based on merit, qualifications, and performance.

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