Cloud Architect

About the role

The Staff Cloud Architect leads the design and delivery of complex, multi‑domain systems across cloud, data and AI/ML, acting as an embedded technical leader on cross‑functional teams, defining strategy, owning end‑to‑end architecture, mentoring engineers, and ensuring solutions are scalable, secure and production‑ready.

About the company

Robots & Pencils is an applied AI engineering firm that designs and ships AI co‑workers integrated into enterprise operations. Founded in 2009, it serves sectors such as consumer products, retail, education, energy, financial services, healthcare and manufacturing, operates delivery centers in Canada, the United States, Eastern Europe and Latin America, and emphasizes senior, fast‑moving teams with an average of 15+ years of experience.

Requirements

• 7+ years software engineering experience, with at least 3 years in architecture or technical leadership
• Deep expertise in cloud platforms and cloud‑native architectures (AWS, Azure, GCP)
• Strong background in microservices, serverless, containers, and event‑driven systems (Kubernetes, Docker, Lambda, EventBridge)
• Proficiency with infrastructure as code and CI/CD (Terraform, CloudFormation, Pulumi, GitHub Actions)
• Strong data architecture expertise across relational, NoSQL, and big data systems (PostgreSQL, MongoDB, Snowflake, BigQuery, Spark, Kafka)
• Hands‑on experience with data modeling, ETL/ELT pipelines, and orchestration tools (Airflow, Prefect, dbt)
• Experience designing production AI/ML systems, including LLMs, MLOps, and model serving (SageMaker, Vertex AI, MLflow, Hugging Face, PyTorch, TensorFlow)
• Solid understanding of networking, security, identity, and access management in cloud environments
• Experience with governance, compliance, and observability frameworks
• Strong software engineering skills in Python, APIs, and containerization
• Demonstrated leadership and technical mentoring experience
• Strong stakeholder communication skills, able to translate technical depth across audiences
• Demonstrable usage of AI‑forward tools such as Claude and Cursor
• Multi‑cloud architecture experience, AI ethics or responsible AI experience, or enterprise architecture certifications (TOGAF, AWS/Azure/GCP) preferred