Senior Cloud Architect – AWS & AI (Remote US/Canada)

Robots & Pencils; United States; Remote; USD 110,000 - 151,000; Full time

Job summary

Robots & Pencils is seeking a Senior Cloud Application Architect to design and deliver cloud-native apps on AWS, combining hands-on development with architectural ownership. You will decompose systems into well-bounded services and shape serverless and container deployments for reliability and scale.

Collaborate with senior engineers, product partners, and AI teams to translate requirements into sound architecture, implement infrastructure as code and CI/CD, and integrate AI services where they

Qualifications

• 5+ years of professional software engineering experience designing cloud-native applications.
• Experience with AWS and cloud-native patterns.
• Proficiency in at least one backend language (Python, TypeScript, Java, or Go) and familiarity with another.

Responsibilities

• Contribute to the design of cloud-native apps and define service boundaries on AWS.
• Build and deploy microservices and serverless functions using containers.
• Implement event-driven patterns and asynchronous messaging between services.
• Design and consume APIs across REST, GraphQL, or gRPC and work with API gateways.
• Maintain infrastructure as code and CI/CD pipelines for repeatable deployments.
• Apply observability, scalability, and resilience practices to keep applications healthy.

Skills

Cloud-native design

AWS

Backend languages

API design

CI/CD

Observability & resilience

Security fundamentals

AI/LLM integration

Mentoring

Ownership

Tools

Docker

Kubernetes

Job description

Robots & Pencils is seeking a Senior Cloud Application Architect to design and deliver cloud-native apps on AWS, combining hands-on development with architectural ownership. You will decompose systems into well-bounded services and shape serverless and container deployments for reliability and scale.

Collaborate with senior engineers, product partners, and AI teams to translate requirements into sound architecture, implement infrastructure as code and CI/CD, and integrate AI services where they