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Robots and Pencils

Production-ready AI implementations for enterprises

Senior Cloud Architect

Backend EngineeringPosted on Nov 9
Full-time$90k - $151k

About the Job

Requirements

  • 5+ years of professional software engineering experience, including hands-on experience designing cloud-native applications.
  • Working knowledge of a cloud platform and cloud-native application patterns; AWS is preferred.
  • Proficiency in at least one backend language and familiarity with another, such as Python, TypeScript, Java, or Go.
  • Experience building microservices, serverless functions, and event-driven systems.
  • Familiarity with containers and orchestration.
  • Experience designing and consuming APIs across REST, GraphQL, or gRPC and working with API gateways.
  • Working knowledge of infrastructure as code and CI/CD.
  • Familiarity with observability, scalability, and resilience practices in cloud applications.
  • Understanding of cloud security, identity, and access management fundamentals.
  • Experience integrating AI or large language model services into applications, including retrieval-augmented generation or inference patterns.
  • Demonstrable day-to-day usage of AI-forward tools such as Claude and Cursor.
  • Strong problem-solving skills and the ability to navigate ambiguous technical challenges with sound judgment.

Responsibilities

  • Contribute to the design of cloud-native applications, helping define service boundaries, API contracts, and data flows on AWS.
  • Build and deploy microservices and serverless functions using containers and managed compute.
  • Implement event-driven patterns and asynchronous messaging between services.
  • Design and implement APIs across protocols and gateways.
  • Support infrastructure as code and CI/CD pipelines that make deployments repeatable and safe.
  • Implement observability, scalability, and resilience practices so applications stay healthy under load.
  • Apply AWS Well-Architected practices for security, reliability, and cost across the services you build.
  • Build and integrate AI and large language model services into cloud applications, including retrieval-augmented generation and inference workflows.
  • Use modern AI assistants such as Claude and Cursor in daily work to support high-quality, timely delivery.
  • Collaborate with engineering, data, AI, and product teams to translate requirements into sound application architecture.
  • Communicate technical tradeoffs and design decisions clearly across functions.
  • Maintain architecture and API documentation that supports reproducibility, onboarding, and shared understanding.
  • Participate in design and code reviews, raising concerns and offering constructive feedback.
  • Take end-to-end ownership of system components with growing architectural responsibility.
  • Contribute to architectural standards and best practices across the team.
  • Begin mentoring more junior engineers, sharing knowledge and supporting their growth.

Desired Qualifications

  • CMS integration expertise in localized site builds and content migration, with hands-on exposure to SurfOS.
  • AWS experience is preferred.

About the Company

Robots and Pencils

Production-ready AI implementations for enterprises

Robots & Pencils provides enterprise AI engineering services. It builds production-ready AI systems that companies can deploy quickly, delivering measurable business impact in weeks rather than months. The team blends advanced engineering with human-centered design, combining “robots” (AI/engineering) with “pencils” (UX and product design) to create solutions that are both technically solid and easy to use. The company works with large enterprises across sectors including Consumer Products and Retail, Education, Energy, Financial Services, Healthcare, and Manufacturing, and operates with small, senior teams instead of large consulting firms. Its delivery centers span Canada, the U.S., Eastern Europe, and Latin America, making it a nimble alternative to traditional global system integrators. The goal is to help enterprises move quickly and confidently with AI initiatives, delivering solutions that are reliable, scalable, and aligned with real business needs.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Calgary, Canada
Founded
2009

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