Senior Cloud Architect
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Job Description
Senior Cloud Architect designing cloud-native, data, and AI/ML systems for Robots & Pencils, an applied AI engineering firm. Building production-ready enterprise solutions across US and Canada.
Responsibilities:
- 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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