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Staff Cloud Architect – L4
Robots & Pencils. Define technical strategy and lead architectural design across cloud, data, and AI/ML systems for end-to-end engagements .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining technical strategy and leading architectural design for cloud, data, and AI/ML systems. Proficient in cloud-native architectures, data architecture, and AI/ML system design, with strong leadership and communication skills.
Highest-signal resume keywords
Cloud-Native ArchitectureData Architecture ExpertiseAI/ML System DesignInfrastructure as CodeTechnical Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Cloud PlatformsMicroservicesServerlessContainersData ModelingETL/ELT PipelinesPythonAPIsNetworkingSecurity
Soft Skills
Stakeholder CommunicationTechnical Mentoring
Tools & Technologies
AWSAzureGCPKubernetesDockerTerraformAirflowClaudeCursorGitHub Actions
Industry Keywords
GovernanceComplianceObservabilityMulti-Cloud ArchitectureAI Ethics
Tech Stack
Tools & technologiesAirflowAWSAzureBigQueryCloudDockerETLGoogle Cloud PlatformKafkaKubernetesMicroservicesMongoDBNoSQLPostgresPythonSparkTerraform
About the role
Key responsibilities & impact- Define technical strategy and lead architectural design across cloud, data, and AI/ML systems for end-to-end engagements
- Architect scalable cloud-native solutions, including multi-cloud and hybrid strategies
- Design data architectures including warehouses, data lakes, and batch and streaming pipelines
- Design AI/ML systems including model serving, MLOps pipelines, feature stores, and LLM-based applications
- Define infrastructure-as-code, CI/CD, and DevOps standards
- Drive performance, scalability, cost, and reliability optimization
- Ensure architecture meets security, governance, and compliance requirements
- Lead cloud migrations and platform modernization initiatives
- Use AI-forward tools such as Claude and Cursor to deliver quality work efficiently
- Partner with leadership and clients on technical direction and translate business goals into architectural decisions
- Communicate complex technical concepts to engineering and non-engineering stakeholders
- Collaborate with engineering, data, AI, and product teams
- Develop and maintain architecture documentation, standards, and guidelines
- Establish architectural standards and best practices
- Mentor junior and mid-level engineers
- Act as a technical escalation point for complex architectural and integration challenges
- Evaluate emerging technologies and recommend tools, frameworks, and patterns
Requirements
What you’ll need- 8+ years of experience in software engineering, with at least 3 years in architecture or technical leadership roles
- Deep expertise in cloud platforms and cloud-native architectures, including AWS, Azure, and GCP
- Strong background in microservices, serverless, containers, and event-driven systems, including Kubernetes, Docker, Lambda, and EventBridge
- Proficiency with infrastructure as code and CI/CD, including Terraform, CloudFormation, Pulumi, and GitHub Actions
- Strong data architecture expertise across relational, NoSQL, and big data systems, including PostgreSQL, MongoDB, Snowflake, BigQuery, Spark, and Kafka
- Hands-on experience with data modeling, ETL/ELT pipelines, and orchestration, including Airflow, Prefect, and dbt
- Strong experience designing production AI/ML systems, including LLMs, MLOps, and model serving
- 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 and ability 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 are a plus
- Applications from outside Canada and the US will not be considered
- Background check may be required in accordance with local legislation
Benefits
Comp & perks- Paid time off
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) for eligible employees
- Background check conditional upon local legislation and candidate privacy notice
- Equal employment opportunities