Senior Cloud Architect

🕒 September 19

🌐 United States, Canada – Remote

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💵 $53 - $73 / hour

⏰ Full Time

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 7%

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Logo of Robots & Pencils

Robots & Pencils

51 - 200 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

💰 Venture Round on 2022-04

Artificial Intelligence • B2B • SaaS

Robots & Pencils is a digital innovation firm that specializes in developing digital strategies and products utilizing mobile, web, and frontier technologies to drive transformation for businesses. They focus on areas such as mobile development, product design, UX research, artificial intelligence, machine learning, and organizational change management. With a commitment to blending creativity with technology, they aim to unlock data insights and enhance product innovation, ultimately delivering excellent customer experiences and helping brands gain a competitive edge.

📋 Description

• Contribute to architectural design across cloud, data, and AI/ML systems, taking ownership of meaningful components • Build and integrate cloud-native solutions including microservices, serverless, and containerized workloads • Implement infrastructure as code and CI/CD pipelines • Design and contribute to data architectures including pipelines, warehouses, and modeling • Support AI/ML system design, including model serving, MLOps pipelines, and integration of LLM-based capabilities • Implement monitoring, logging, and observability across deployed systems • Collaborate with engineering, data, AI, and product teams to translate requirements into technical solutions • Communicate technical tradeoffs and design decisions across functions • Maintain architecture documentation • Participate in design reviews • Take ownership of system components with growing architectural responsibility • Contribute to architectural standards and best practices • Mentor junior engineers and support their growth

🎯 Requirements

• Applications from outside Canada and the US will not be considered • 5+ years of professional software engineering experience, with exposure to architectural decision-making • Working knowledge of cloud platforms and cloud-native architectures, including AWS, Azure, or GCP • Proficiency in Python and at least one other language commonly used in modern stacks, such as Java, Scala, or TypeScript • Hands-on experience with containerization and orchestration, such as Docker and Kubernetes • Experience with infrastructure as code and CI/CD pipelines, such as Terraform, CloudFormation, and GitHub Actions • Working knowledge of relational and NoSQL databases, plus data pipelines and ETL/ELT concepts, such as PostgreSQL, MongoDB, Airflow, and dbt • Familiarity with AI/ML system design, including model deployment, MLOps, and LLM integration, such as SageMaker, Vertex AI, MLflow, and Hugging Face • Understanding of microservices, serverless, and event-driven architectures • Awareness of security, compliance, and observability fundamentals, such as GDPR, HIPAA, and SOC2 • Demonstrable usage of AI-forward tools such as Claude and Cursor • Strong problem-solving skills and ability to navigate ambiguous technical challenges

🏖️ Benefits

• Paid time off • Medical insurance • Dental insurance • Vision insurance • 401(k)

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