Software Engineer II

The Commerce Data Platform team is committed to building robust, scalable, extensible and highly reliable data-driven products that empower our commerce business with trustworthy actionable insights and seamless operations. We are seeking a skilled Software Engineer who excels in software engineering best practices and has a passion for leveraging AI-powered coding tools to enhance development efficiency and software quality.

As a Platform Software Engineer, you’ll be deeply involved in designing, building, and maintaining sophisticated distributed data systems. You will employ core software engineering disciplines—such as code modularity, CI/CD, automated testing, code reviews, and system design—while also incorporating AI-based coding practices (e.g., code generation, intelligent code completion, automated refactoring, and static analysis with AI tools) into your daily workflow. Collaboration with cross-functional teams is key to delivering high-quality, scalable, and maintainable solutions.

Responsibilities

• Design, implement, and maintain distributed data processing systems using state-of-the-art engineering principles.
• Leverage AI-powered coding tools and practices to accelerate development, ensure code quality, and automate routine tasks.
• Develop clean, maintainable, and well-documented code with a strong emphasis on unit/integration testing, code reviews, and automation.
• Build and optimize scalable ETL pipelines for analytics and machine learning applications, using distributed frameworks (e.g., Spark, Hadoop, Synapse).
• Write advanced SQL for data extraction, transformation, and analysis, ensuring performance and correctness.
• Collaborate effectively with product, data science, and analytics teams to translate requirements into robust software solutions.
• Troubleshoot, debug, and proactively improve system reliability and performance.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
• 4-5 years of professional experience in software engineering, data engineering, or big data platforms.
• Solid foundation in software design principles, algorithms, and data structures.
• Hands-on experience with distributed data processing frameworks (such as Apache Spark, Hadoop, or similar).
• Strong SQL fundamentals and the ability to write complex, optimized queries.
• Practical experience with AI-powered coding tools (e.g., GitHub Copilot, TabNine, automated code review/analysis platforms).
• Experience building and maintaining automated test suites, CI/CD pipelines, Observability and code review processes.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills, with a focus on teamwork and shared ownership.