Senior Cloud Architect
New
R
Robots & PencilsCloud applications
Remote based in CanadaFull-TimeSenior
Salary90,000 - 124,000 USD per year
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Job Details
- Experience
- 5+ years of professional software engineering experience
- Required Skills
- AWSGraphQLgRPCServerlessRESTful APIsMicroservices
Requirements
- Have 5+ years of professional software engineering experience, including hands-on experience designing cloud-native applications.
- Bring working knowledge of a cloud platform and cloud-native application patterns; AWS is preferred.
- Be proficient in at least one backend language and familiar with another, such as Python, TypeScript, Java, or Go.
- Have experience building microservices, serverless functions, and event-driven systems.
- Be familiar with containers and orchestration.
- Have experience designing and consuming APIs using REST, GraphQL, or gRPC and working with API gateways.
- Have working knowledge of infrastructure as code and CI/CD.
- Be familiar with observability, scalability, and resilience practices in cloud applications.
- Understand cloud security, identity, and access management fundamentals.
- Have experience integrating AI or LLM services into applications, including RAG or inference patterns.
- Demonstrate day-to-day use of AI-forward tools such as Claude and Cursor.
- Bring problem-solving skills and sound judgment when navigating ambiguous technical challenges.
- Helpful extra: CMS integration experience with localized site builds, content migration, and SurfOS.
Responsibilities
- Contribute to cloud-native application design, defining service boundaries, API contracts, and data flows on AWS.
- Build and deploy microservices and serverless functions using containers and managed compute.
- Implement event-driven patterns and asynchronous messaging between services.
- Design and implement APIs across protocols and gateways.
- Support infrastructure as code and CI/CD pipelines for repeatable, safe deployments.
- Implement observability, scalability, and resilience practices for cloud applications.
- Apply AWS Well-Architected practices for security, reliability, and cost.
- Build and integrate AI and LLM services, including RAG and inference workflows.
- Collaborate with engineering, data, AI, and product teams to translate requirements into application architecture.
- Own system components, contribute to architectural standards, and mentor junior engineers.
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