Senior Cloud Architect

Robots & Pencils

. Contribute to the design of cloud-native applications, helping define service boundaries, API contracts, and data flows on AWS .

Posted 11/9/2026full-timeRemote • United StatesSenior💰 $110,000 - $151,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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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

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Applicant Tracking System Keywords

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Hard Skills

PythonTypeScriptJavaGoEvent-Driven SystemsContainersCI/CD PipelinesObservability PracticesCloud SecurityAPI Gateways

Soft Skills

Problem-SolvingCommunicationMentoring

Tools & Technologies

AWSClaudeCursorSurfOS

Industry Keywords

Cloud ComputingMicroservices ArchitectureServerless ComputingAI ServicesRAG Workflows

Tech Stack

Tools & technologies

AWSCloudGraphQLGRPCJavaMicroservicesPythonTypeScriptGo

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

Benefits

Comp & perks

Paid time off
Medical insurance
Dental insurance
Vision insurance
401(k)