Senior Cloud Architect

This is a fully remote position, open to applicants in Canada.

📋 Description

• Contribute to the architecture of cloud-native applications by defining service boundaries, API contracts, and data flows on AWS.

• Develop and deploy microservices and serverless functions using containers and managed computing resources.

• Implement event-driven patterns and facilitate asynchronous messaging among services.

• Design and create APIs that operate across various protocols and gateways.

• Support infrastructure as code practices and CI/CD pipelines to ensure deployments are repeatable and secure.

• Implement observability, scalability, and resilience measures to keep applications healthy under load.

• Apply AWS Well-Architected principles concerning security, reliability, and cost-effectiveness across the services you develop.

• Build and integrate AI and LLM services into cloud applications, including RAG and inference workflows.

• Utilize tools such as Claude, Cursor, and other modern AI assistants to deliver high-quality work efficiently.

• Collaborate with engineers, data scientists, AI specialists, and product teams to convert requirements into effective application architecture.

• Clearly communicate technical trade-offs and design decisions across different functional areas.

• Maintain architecture and API documentation.

• Participate in design and code reviews.

• Take full ownership of system components end-to-end, gaining increasing architectural responsibility.

• Contribute to the establishment of architectural standards and best practices.

• Start mentoring junior engineers.

⛳️ Requirements

• A minimum of 5 years of professional software engineering experience, with practical experience in designing cloud-native applications.

• Proficient understanding of a cloud platform and cloud-native application patterns, with a preference for AWS.

• Expertise in at least one backend programming language and familiarity with another (e.g., Python, TypeScript, Java, Go).

• Experience in developing microservices, serverless functions, and event-driven architectures.

• Familiarity with containerization and orchestration technologies.

• Experience in designing and consuming APIs via REST, GraphQL, or gRPC, and working with API gateways.

• Practical knowledge of infrastructure as code and CI/CD methodologies.

• Familiar with observability, scalability, and resilience practices in cloud environments.

• Understanding of cloud security, identity, and access management principles.

• Experience incorporating AI or LLM services into applications, including RAG or inference patterns.

• Regular use of AI-driven tools such as Claude and Cursor.

• Strong problem-solving abilities and the capacity to tackle ambiguous technical challenges with sound judgment.

• CMS integration specialist with experience in localized site builds and content migration, along with practical exposure to SurfOS.

• Successful completion of a background check may be necessary.

🏝️ Benefits

• Paid time off.

• Medical insurance.

• Dental insurance.

• Vision insurance.

• 401(k).