Cloud Platform Engineer governing AWS and GCP infrastructure for Supabase’s open - source developer platform. Building secure IaC, self - service tooling, and operational primitives for distributed engineering teams.
About the role
- AI and Cloud Architect designing and implementing cloud-native solutions for North America's leading brands. Collaborating on AI-enabled projects with teams based in Canada and Poland.
Responsibilities
- Design and implement solution architectures that satisfy client requirements, with a strong focus on AI-enabled and cloud-native applications.
- Design AI-enabled workflows such as chatbots, search, summarization, and automation.
- Leverage RAG (retrieval-augmented generation), agentic AI patterns, vector databases, and enterprise search in applied solutions.
- Orchestrate multi-service AI solutions that combine LLMs, APIs, and cloud services.
- Guide clients and teams through cloud modernization projects, supporting migrations and adoption of cloud-native practices.
- Understand data security and residency requirements, addressing client concerns around sensitive data in AI-enabled systems.
- Ensure solutions comply with security and regulatory standards while managing technical risks across architectures.
- Support Services teams during delivery by addressing architectural questions as projects evolve and refining designs when new requirements or complexities emerge.
- Build prototypes and participate in demos with clients to showcase how AI and cloud can add value.
- Create solution diagrams and architectures for client decks to support pre-sales discussions.
- Partner with clients in pre-sales support: participate in meetings, capture requirements, and collaborate with the sales lead.
- Communicate architectural decisions clearly to both business and technical audiences.
- Balance functional and non-functional requirements, ensuring secure, scalable, and maintainable solutions.
- Support scoping and estimation for solutions across multiple industries, validating requirements with internal and external stakeholders.
- Collaborate closely with technical leads, developers, designers, strategists, and project managers to deliver high-quality solutions.
- Leverage Architech’s cloud and technology partners to strengthen solution proposals.
- Work directly with mid-sized and enterprise clients, ensuring solutions align to their scale, security, and business needs.
- Embrace and contribute to the achievement of Architech’s sustainability goals relating to Good Health & Well-being, Quality Education, Gender Equity, and Reduced Inequalities.
Requirements
- 6+ years of hands-on experience designing and delivering software solutions
- Post-secondary education in Computer Science, Math, or Engineering (or equivalent experience)
- Experience designing AI-enabled workflows (chatbots, search, summarization, automation)
- Knowledge of RAG, agentic AI patterns, vector databases, and enterprise search
- Experience orchestrating multi-service AI solutions
- Strong understanding of cloud-native design and modern architectural patterns
- Experience guiding organizations through cloud modernization initiatives, from legacy migrations to greenfield cloud adoption
- Solid understanding and experience with containers and orchestration (Kubernetes preferred)
- Solid understanding and experience with data integration concerns, and platforms such as Apache Kafka, ActiveMQ, or RabbitMQ
- Experience working with major cloud platforms (Azure and GCP strongly preferred, AWS an asset)
- Ability to integrate AI services into solutions using platforms like Azure AI, Google Vertex AI, AWS Bedrock, or third-party APIs
- Hands-on experience with at least one major programming language (Java, .NET, Python, JavaScript, or Go)
- Knowledge of automation principles (CI/CD, infrastructure as code)
- Strong awareness of monitoring, logging, and security in cloud-based environments.
- Excellent communication skills: able to support client-facing discussions with confidence, without needing to lead them.
- Team-first mentality, able to collaborate across disciplines without direct management responsibilities.
- Adaptability to changing project requirements and evolving AI technologies.
- Curiosity for AI and eagerness to learn as the industry shifts and new capabilities emerge.
- Practical experience with Agile methodologies.
Benefits
- Health insurance
- Continuous growth with learning budgets
- Internal bootcamps
- Certification bonuses
- Summit days
- Flexible work arrangements
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