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13 дней назад

Staff Cloud Architect (AI)

53 - 74CAD
Формат работы
remote (только USA)
Тип работы
project
Грейд
senior
Английский
b2
Страна
US/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
Staff Cloud Architect (AI): Designing and delivering complex cloud, data, and AI/ML systems for enterprise engagements with an accent on scalable cloud-native architecture, production AI platforms, data pipelines, and security. Focus on defining technical strategy, leading cloud migrations, optimizing reliability and cost, and mentoring engineering teams across multi-domain architecture challenges.

Location: Remote in the United States or Canada only. Applications from outside the US and Canada will not be considered.

Salary: CAD 53–74 per hour. Contract duration: 6 months.

Company

Robots & Pencils is an applied AI engineering firm that designs and delivers AI co-workers and enterprise systems across multiple industries, using AWS, cloud engineering, UX, and senior technical talent.

What you will do

  • Define technical strategy and lead architecture across cloud infrastructure, data platforms, and AI/ML systems.
  • Architect scalable cloud-native, multi-cloud, hybrid, data, and event-driven solutions.
  • Design data warehouses, data lakes, batch and streaming pipelines, model-serving platforms, MLOps systems, feature stores, and LLM applications.
  • Establish infrastructure-as-code, CI/CD, DevOps, security, governance, compliance, observability, and reliability standards.
  • Lead cloud migrations and platform modernization while optimizing performance, scalability, cost, and reliability.
  • Partner with clients and leadership, document architecture, mentor engineers, and resolve complex technical escalations.

Requirements

  • 8+ years of software engineering experience, including at least 3 years in architecture or technical leadership.
  • Deep expertise in cloud platforms and cloud-native architecture, including AWS, Azure, or GCP.
  • Experience with microservices, serverless systems, containers, Kubernetes, Docker, and event-driven architecture.
  • Proficiency with Terraform, CloudFormation or Pulumi, CI/CD, data architecture, ETL/ELT, orchestration, and big data systems.
  • Production experience designing AI/ML systems, including LLMs, MLOps, model serving, SageMaker, Vertex AI, MLflow, Hugging Face, PyTorch, or TensorFlow.
  • Strong software engineering, networking, cloud security, identity and access management, stakeholder communication, leadership, and mentoring skills.

Nice to have

  • Multi-cloud architecture experience, responsible AI or AI ethics experience, and enterprise architecture certifications such as TOGAF or AWS, Azure, or GCP certifications.

Culture & Benefits

  • Applied AI work focused on production-ready systems and measurable client impact.
  • Senior teams averaging more than 15 years of experience.
  • Paid time off and medical, dental, and vision insurance for eligible employees.
  • 401(k) benefits for eligible employees.
  • Fast-paced, ownership-oriented environment emphasizing technical craft, direct feedback, and continuous learning.

Hiring process

  • Employment may be conditional on successfully completing a background check in accordance with local legislation.

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