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Senior Cloud Architect
Robots & Pencils. Contribute to architectural design across cloud, data, and AI/ML systems, taking ownership of meaningful components .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in cloud-native architecture, AI/ML system design, and infrastructure as code, with a strong focus on building scalable solutions and mentoring junior engineers. Proficient in translating complex requirements into effective technical solutions while maintaining architectural standards and best practices.
Highest-signal resume keywords
Cloud-Native ArchitectureAI/ML System DesignInfrastructure As CodeCI/CD PipelinesContainerization And Orchestration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonJavaScalaTypeScriptDockerKubernetesTerraformCloudFormationPostgreSQLMongoDB
Soft Skills
Problem-SolvingCommunicationMentoring
Tools & Technologies
AWSAzureGCPAirflowDbtSageMakerVertex AIMLflowHugging FaceClaude
Industry Keywords
MicroservicesServerlessEvent-Driven ArchitectureGDPRHIPAASOC2ObservabilityData PipelinesETLELT
Tech Stack
Tools & technologiesAirflowAWSAzureCloudDockerETLGoogle Cloud PlatformJavaKubernetesMicroservicesMongoDBNoSQLPostgresPythonScalaTerraformTypeScript
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Paid time off
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)