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1 день назад

Senior Cloud Architect (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Ukraine/Canada
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
Senior Cloud Architect (AI) (AWS/cloud, data, and AI/ML): Designing and delivering complex multi-domain systems spanning cloud infrastructure, data platforms, and AI/ML workloads with an accent on scalable, secure, and maintainable architectures. Focus on building microservices, serverless and containerized workloads, implementing infrastructure as code and CI/CD, and integrating model serving, MLOps, and LLM capabilities.

Location: Lviv, Ukraine

Company

Robots & Pencils is an applied AI engineering firm that designs and ships AI co-workers and enterprise systems for clients across multiple industries.

What you will do

  • Contribute to architectural design across cloud, data, and AI/ML systems, owning meaningful components end to end.
  • Build and integrate cloud-native microservices, serverless, containerized, and event-driven workloads.
  • Implement infrastructure as code, CI/CD pipelines, monitoring, logging, and observability.
  • Design data architectures covering pipelines, warehouses, modeling, and ETL/ELT workflows.
  • Support AI/ML system design, including model serving, MLOps pipelines, and LLM-based integrations.
  • Collaborate with engineering, data, AI, and product teams; document architecture, participate in design reviews, and mentor junior engineers.

Requirements

  • 5+ years of professional software engineering experience with hands-on exposure to architectural decisions.
  • Strong software engineering background with proficiency in Python and at least one additional modern-stack language such as Java, Scala, or TypeScript.
  • Working knowledge of cloud platforms and cloud-native architectures, including microservices, serverless, containers, and event-driven systems.
  • Experience with infrastructure as code, CI/CD pipelines, relational and NoSQL databases, data pipelines, and ETL/ELT concepts.
  • Familiarity with AI/ML system design, model deployment, MLOps, LLM integration, cloud networking, security, identity, and access management.
  • Understanding of GDPR, HIPAA, SOC 2, observability fundamentals, and day-to-day use of AI tools such as Claude and Cursor.

Culture & Benefits

  • 20 days of paid vacation and 15 days of unpaid vacation.
  • Official public holidays off and 5 paid sick days without a doctor's certificate.
  • Medical insurance.
  • Military draft deferment and reservation support.
  • Cooperation under a gig-contract.

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