[Hiring] Senior Cloud Architect @Robots and Pencils

Role Description

We’re looking for a Senior Cloud Application Architect to contribute to the design and delivery of cloud-native applications on AWS, growing into architectural ownership while staying close to the code. This is a role for someone who enjoys hands-on development and wants to sharpen the judgment that comes from designing services, APIs, and event flows that have to run reliably in production. You’ll help decompose systems into well-bounded services, shape serverless and container-based deployments, and make the day-to-day calls that keep applications scalable, secure, and maintainable.

In this role, you will work as a delivery-embedded contributor on a cross-functional team building real systems for real clients. You’ll collaborate closely with senior architects, engineers, and product partners to:

• Translate requirements into sound application architecture
• Implement infrastructure as code and CI/CD pipelines
• Integrate AI services where they add value

Along the way you’ll develop the technical instincts that come from shipping things that matter and learn to weigh tradeoffs across cost, performance, resilience, and team velocity.

Qualifications

• 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

Requirements

• 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

Benefits

• Comprehensive package of benefits including paid time off
• Medical/dental/vision insurance
• 401(k) to eligible employees