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Senior Cloud Architect
Robots & Pencils. Contribute to the design of cloud-native applications, helping define service boundaries, API contracts, and data flows on AWS .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing cloud-native applications on AWS, with a strong focus on microservices, serverless functions, and API design. Proficient in integrating AI services and applying best practices for observability, scalability, and security.
Highest-signal resume keywords
Cloud-Native Application DesignMicroservices DevelopmentAPI Design and ImplementationInfrastructure as CodeAI Integration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AWSPythonTypeScriptJavaGoMicroservicesServerless FunctionsEvent-Driven SystemsAPI GatewaysCI/CD
Soft Skills
Problem-SolvingCommunicationMentoring
Tools & Technologies
ClaudeCursorContainersOrchestrationObservability Tools
Industry Keywords
Cloud SecurityIdentity ManagementAccess ManagementRAGInference Patterns
Tech Stack
Tools & technologiesAWSCloudGraphQLGRPCJavaMicroservicesPythonTypeScriptGo
About the role
Key responsibilities & impact- Contribute to the design of cloud-native applications, helping define 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 that make deployments repeatable and safe
- Implement observability, scalability, and resilience practices so applications stay healthy under load
- Apply AWS Well-Architected practices for security, reliability, and cost across the services you build
- Build and integrate AI and LLM services into cloud applications, including RAG and inference workflows
- Use tools like Claude, Cursor, and other modern AI assistants to ship higher-quality work at pace
- Collaborate with engineers, data, AI, and product teams to translate requirements into sound application architecture
- Communicate technical tradeoffs and design decisions clearly across functions
- Maintain architecture and API documentation
- Participate in design and code reviews
- Take ownership of system components end-to-end with growing architectural responsibility
- Contribute to architectural standards and best practices
- Begin mentoring more junior engineers
Requirements
What you’ll need- 5+ years of professional software engineering experience, with hands-on experience designing cloud-native applications
- Working knowledge of a cloud platform and cloud-native application patterns, with AWS preferred
- Proficiency in at least one backend language and familiarity with another (e.g., Python, TypeScript, Java, Go)
- Experience building microservices, serverless functions, and event-driven systems
- Familiarity with containers and orchestration
- Experience designing and consuming APIs across REST, GraphQL, or gRPC and working with API gateways
- Working knowledge of infrastructure as code and CI/CD
- Familiarity with observability, scalability, and resilience practices in cloud applications
- Understanding of cloud security, identity, and access management fundamentals
- Experience integrating AI or LLM services into applications, including RAG or inference patterns
- Demonstrable, day-to-day usage of AI-forward tools such as Claude and Cursor
- Strong problem-solving skills and the ability to navigate ambiguous technical challenges with sound judgment
- CMS integration specialist experienced in localized site builds and content migration, with hands-on exposure to SurfOS
- Successful completion of a background check may be required
Benefits
Comp & perks- Paid time off
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)