Senior Software Engineer (Commerce Platforms)

## About the role Design, build, test, deploy, and operate scalable, secure, and highly reliable distributed systems and cloud-native services. Develop commerce platform capabilities supporting AI solutions, financial systems, payments, offers, pricing, catalogs, data models, and transaction processing platforms. Build AI-powered experiences, intelligent automation, agentic workflows, and data-driven capabilities that improve customer and business outcomes. Develop and maintain APIs, backend services, cloud platforms, data pipelines, and full-stack applications. Collaborate with stakeholders to gather requirements, define technical approaches, and deliver high-quality solutions. Create and own technical designs, architecture proposals, implementation plans, and engineering documentation. Drive platform modernization initiatives that improve scalability, resiliency, observability, security, compliance, and developer productivity. Leverage AI-assisted engineering tools to improve development efficiency, code quality, testing, deployment, and operational excellence. Improve live-site health through monitoring, telemetry, automation, incident response, troubleshooting, and continuous improvement. Champion engineering excellence through secure development practices, code reviews, automation, and high operational standards. Partner across engineering, product, program management, research, and data teams to deliver end-to-end customer-focused solutions. Mentor engineers, contribute to team culture, and foster a collaborative, inclusive environment. ## Requirements - Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. - Professional experience building software systems, cloud services, distributed applications, or platform technologies. - Proficiency in C#, Java, Python, JavaScript, C++, or similar programming languages. - Experience building distributed systems, microservices, APIs, cloud-native services, or large-scale platforms. - Experience with Azure, AWS, or GCP. - Experience with full-stack development, backend engineering, platform engineering, infrastructure services, or data-driven applications. - Experience building AI-powered solutions, intelligent automation, LLM-enabled applications, agentic workflows, or leveraging AI-assisted engineering tools. - Familiarity with financial systems, revenue platforms, payments, commerce platforms, pricing systems, catalog management, data modeling, or transaction processing systems. - Experience with Azure DevOps, CI/CD pipelines, automated testing, monitoring, telemetry, observability, and DevOps practices. - Knowledge of security, privacy, accessibility, reliability, and Responsible AI principles. - Analytical, communication, collaboration, and problem-solving skills. - Exposure to AI/ML/Data sciences or data-driven systems, including working with models, data pipelines, or intelligent features. ## Nice to have - Exposure to AI/ML/Data sciences or data-driven systems, including working with models, data pipelines, or intelligent features.