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Robots & Pencils is a digital innovation firm helping businesses turn emerging technology into practical digital products and strategies. Its work spans mobile and web development, product design, UX research, artificial intelligence, machine learning, and organizational change management. The company combines creative problem-solving with technical expertise to uncover value in data, support product innovation, and create stronger customer experiences across AI, B2B, and SaaS environments.
Senior Cloud Architect – Remote in the US and Canada
Design and deliver cloud-native, data, and AI/ML systems for Robots & Pencils, an applied AI engineering firm. This remote full-time role supports production enterprise solutions across the US and Canada.
Description
- Shape architecture for cloud, data, and AI/ML systems while owning substantial technical components
- Develop and connect cloud-native workloads using microservices, serverless patterns, and containers
- Build infrastructure-as-code configurations and continuous integration and delivery pipelines
- Create and enhance data architectures spanning pipelines, warehouses, and data modeling
- Contribute to AI/ML architecture, including model serving, MLOps workflows, and LLM capability integration
- Deploy monitoring, logging, and observability for production systems
- Partner with engineering, data, AI, and product teams to turn requirements into technical designs
- Explain technical tradeoffs and architectural decisions to cross-functional stakeholders
- Keep architecture documentation accurate and current
- Take part in technical design reviews
- Own system components while expanding architectural scope and accountability
- Help establish architecture standards and engineering best practices
- Coach junior engineers and contribute to their professional development
Requirements
- Applicants must be located in Canada or the United States
- At least five years of professional software engineering experience, including exposure to architectural decisions
- Practical knowledge of cloud platforms and cloud-native design, including AWS, Azure, or GCP
- Proficiency in Python plus another modern programming language such as Java, Scala, or TypeScript
- Hands-on experience with container technologies and orchestration tools such as Docker and Kubernetes
- Experience creating infrastructure as code and CI/CD workflows with tools such as Terraform, CloudFormation, and GitHub Actions
- Working knowledge of relational and NoSQL databases, data pipelines, and ETL/ELT practices, including PostgreSQL, MongoDB, Airflow, and dbt
- Familiarity with AI/ML architecture covering model deployment, MLOps, and LLM integration through tools such as SageMaker, Vertex AI, MLflow, and Hugging Face
- Understanding of microservice, serverless, and event-driven architecture patterns
- Awareness of security, compliance, and observability principles, including GDPR, HIPAA, and SOC2
- Demonstrated use of AI-focused tools such as Claude and Cursor
- Strong analytical and problem-solving ability when addressing ambiguous technical problems
Benefits
- Paid time off
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)
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