Senior Cloud Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Contribute to the architecture of cloud-native applications by defining service boundaries, API contracts, and data flows on AWS.

• Develop and implement microservices and serverless functions utilizing containers and managed compute resources.

• Execute event-driven patterns and facilitate asynchronous messaging between services.

• Design and create APIs across various protocols and gateways.

• Assist in implementing infrastructure as code and CI/CD pipelines for safe and repeatable deployments.

• Establish observability, scalability, and resilience practices.

• Apply AWS Well-Architected principles for security, reliability, and cost efficiency.

• Develop and integrate AI and LLM services into cloud applications, encompassing RAG and inference workflows.

• Leverage AI-forward tools such as Claude and Cursor.

• Collaborate with engineering, data, AI, and product teams to transform requirements into application architecture.

• Convey technical tradeoffs and design choices across different functions.

• Maintain architecture and API documentation.

• Participate in design and code reviews.

• Assume end-to-end ownership of system components, with an increasing architectural responsibility.

• Contribute to the establishment of architectural standards and best practices.

• Initiate mentoring for junior engineers.

⛳️ Requirements

• A minimum of 5 years of professional software engineering experience, including hands-on involvement in designing cloud-native applications.

• Proficient understanding of a cloud platform and cloud-native application patterns, preferably AWS.

• Expertise in at least one backend programming language and familiarity with another, such as Python, TypeScript, Java, or Go.

• Experience in building microservices, serverless functions, and event-driven systems.

• Familiarity with containers and orchestration technologies.

• Experience in designing and utilizing APIs across REST, GraphQL, or gRPC, along with working knowledge of API gateways.

• Practical knowledge of infrastructure as code and CI/CD processes.

• Understanding of observability, scalability, and resilience practices within cloud applications.

• Knowledge of cloud security, identity, and access management fundamentals.

• Experience in integrating AI or LLM services into applications, including RAG or inference methodologies.

• Proven daily use of AI-forward tools like Claude and Cursor.

• Strong problem-solving abilities and capacity to navigate ambiguous technical challenges with sound judgment.

• A background check may be necessary.

🏝️ Benefits

• Paid time off

• Medical insurance

• Dental insurance

• Vision insurance

• 401(k)