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Lead Integration Architect (Kubernetes/IoT)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
Spain
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
Lead Integration Architect (Kubernetes/IoT): Defining and implementing integration architecture standards for a unified software ecosystem connecting instruments, applications, platform services, and enterprise systems with an accent on API design, event-driven architecture, schema governance, and versioning. Focus on architecting Kubernetes-based integration solutions, securing machine-to-cloud data exchange, and solving complex cross-system integration challenges across connected devices and software platforms.

Location: Barcelona, Spain

Company

hirify.global connects scientific instruments, applications, and platform services into a unified software ecosystem.

What you will do

  • Design and own integration architecture across software platforms, instruments, applications, and enterprise systems.
  • Define and validate standards for REST and GraphQL APIs, event-driven architecture, asynchronous messaging, schemas, and versioning.
  • Architect and provide hands-on guidance for containerized integration solutions running on Kubernetes across edge and cloud environments.
  • Review critical integration designs, make binding architecture decisions, and drive adoption of scalable integration patterns.
  • Build reusable integration patterns, reference implementations, working code, and architectural blueprints.
  • Lead integrations involving connected instruments, laboratory systems, IoT devices, edge computing, and machine-to-cloud data exchange.

Requirements

  • 10+ years of software engineering or architecture experience, including 5+ years in hands-on integration architecture.
  • Deep expertise in REST/GraphQL API design, event-driven architecture, Kafka, MQTT or equivalent technologies, asynchronous messaging, schema governance, and API versioning.
  • Strong hands-on experience with Kubernetes, Docker, and cloud-native deployment patterns.
  • Experience integrating connected devices, instruments, industrial equipment, IoT platforms, or similar hardware-centric ecosystems.
  • Strong understanding of device connectivity, telemetry, edge computing, machine-to-cloud communication, and real-time data integration.
  • Ability to own implementation quality and make binding architecture decisions across teams.

Nice to have

  • Experience in scientific instrumentation, laboratory software, or regulated industries such as life sciences and diagnostics.
  • Familiarity with service mesh, API gateways, GitOps, infrastructure-as-code, and DevSecOps.
  • Experience integrating AI/ML inference services and data pipelines.
  • Background integrating systems across organizational boundaries or external partners.

Culture & Benefits

  • Full-time weekly schedule with a day shift.
  • 25% travel required.
  • Permanent position with no stated end date.
  • Compensation is determined by role, level, work location, skills, experience, and education or training.

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