• Design and implement software features and enhancements within the AutoQuote application, working across backend services, data pipelines, and service integrations.

• Build and maintain data processing workflows using Prefect, GCP services, and REST APIs within a cloud-native microservices architecture.

• Write clean, well-tested code that adheres to team standards and passes CI/CD quality gates — Python proficiency is expected, with the ability to apply other languages as the problem requires.

• Actively use AI tools — including LLMs (Claude, Gemini, GPT) and AI coding assistants — to accelerate development, generate and validate code, and solve complex engineering problems.

• Participate in architecture and design reviews, contributing well-reasoned technical analysis and recommendations.

• Collaborate with senior engineers, product management, and QA to translate requirements into robust, testable implementations.

• Lead code reviews for junior engineers and provide constructive technical feedback.





• Investigate and resolve production bugs; contribute to improving system reliability and operational health.

• Stay current on AI frameworks, cloud-native tooling, and engineering best practices.

Requirements

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

• 3–5 years of skilled software engineering experience, with demonstrated ability to work independently on moderately complex features.

• Strong proficiency in Python; working knowledge of additional languages or frameworks appropriate to the task at hand.

• Experience building and maintaining data pipelines using workflow orchestration tools (Prefect, Airflow, or equivalent) and cloud data services.

• Hands-on experience with GCP and/or AWS, including cloud storage, serverless functions, and managed services.

• Demonstrated ability to use AI tools — such as Claude, ChatGPT, or Gemini — to accelerate development, debug problems, and produce higher-

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