Senior Cloud Architect & Microservices Lead (AWS)

Robots & Pencils; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Robots & Pencils, an applied AI engineering firm, seeks an experienced software architect to shape scalable cloud-native architectures on AWS. You will define service boundaries, API contracts, and data flows, and lead the transformation of requirements into robust designs.

Collaborate with engineering, data, AI, and product teams to translate needs into architecture, mentor junior engineers, and help establish standards and best practices while documenting decisions for reproducibility.

Responsibilities

• 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.
• 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 that supports reproducibility, onboarding, and shared understanding.
• Take ownership of system components end-to-end with growing scope of architectural responsibility.
• Contribute to architectural standards and best practices that lift the quality of work across the team.
• Begin mentoring more junior engineers, sharing knowledge and supporting their growth.

Job description

Robots & Pencils, an applied AI engineering firm, seeks an experienced software architect to shape scalable cloud-native architectures on AWS. You will define service boundaries, API contracts, and data flows, and lead the transformation of requirements into robust designs.

Collaborate with engineering, data, AI, and product teams to translate needs into architecture, mentor junior engineers, and help establish standards and best practices while documenting decisions for reproducibility.