Lead the architecture, design, implementation, testing and delivery of highly scalable distributed platforms that power forecasting, inventory allocation, reach estimation, capacity planning and other mission-critical business capabilities by establishing and championing engineering best practices. Drive technical strategy and engineering decisions across teams, influencing architecture direction, platform modernization, and long-term technology investments while ensuring alignment with business objectives. Develop durable, cloud-native solutions that balance scalability, reliability, performance, security, operational excellence, and maintainability. Own platform health and operational excellence by establishing robust observability, monitoring, telemetry, alerting, resiliency, and automation practices that improve system reliability and reduce operational burden. Drive engineering efficiency and platform evolution through service consolidation, platform simplification, automation, and adoption of modern engineering practices that improve developer productivity and accelerate delivery. Partner closely with Product teams, Data Science, and business stakeholders to translate complex business requirements into impactful technical solutions and measurable customer value. Serve as the Designated Responsible Individual (DRI) for critical services, providing technical leadership during production operations, incident response, capacity planning, and service lifecycle management. Build organizational capability by mentoring engineers, developing future technical leaders, and fostering a culture of technical excellence, accountability, continuous learning, and innovation. 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 These requirements include but are not limited to the following specialized security screenings: Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Solid Software Engineering experience building and operating large-scale distributed systems using cloud-native services and data-intensive platforms with proficiency in Spark. Experience leading complex cross-team engineering initiatives, system design, service architecture, reliability engineering, and production operations. Solid problem-solving and deep technical leadership skills. Solid fundamental understanding of generalized architecture patterns, data structures, algorithms, time complexity, etc. Experience with modern software development stack including APIs, microservices, containers, Kubernetes, CI/CD, DevOps, cloud-native architectures, and AI application development. Knowledge on Azure services.
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