Cloud Engineer designing and operating secure AKS platforms for Manulife’s Canadian financial services business. Automating infrastructure, improving reliability, and integrating developer platform capabilities.
About the role
- Staff Cloud Architect leading cloud, data, and AI/ML architecture for Robots and Pencils’ applied AI engineering engagements. Designing scalable, secure production systems across US and Canadian remote teams.
Responsibilities
- 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
- 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
- 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
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