Principal Software Engineer

Align team efforts with business and user requirements by collaborating with stakeholders to define priorities, resolve dependencies, and ensure delivery of well-documented design and implementation plans for products, applications, services, or platforms. Guide system design and architectural decisions across multiple components, encouraging the use of data and telemetry to make informed decisions. Drive engineering excellence by fostering a culture of building modular, secure, reliable, testable, maintainable, and reusable solutions, while promoting active monitoring practices. Establish quality assurance strategies by setting standards for improving test coverage, streamlining integration testing, and addressing critical problem areas proactively. Oversee and improve operational reliability, guiding efforts to troubleshoot and optimize automation, monitoring, and Live Site health. 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 Master's Degree in Computer Science or related technical field AND 10+ 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 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience with large-scale distributed data platforms, such as: Apache Spark, Kafka, Columnar storage, data modeling and schema designs. Experience as a technical lead/Architect. Experience in large scale system architecture, design, development, testing, and release, including but not limited to web applications, microservices in layers, database design, API design, performance tuning, telemetry design and analysis. Demonstrated programming skills and knowledge of architectural patterns for large, high-scale applications. Experience in ML/AI. Proficient analytical skills with systematic and structured approaches to software design. Fluent communication skills to articulate technical details. Ability to navigate cross-organization to influence stakeholders.