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News Corp

Staff Software Engineer, Personalization

News Corp, Austin, Texas, us, 78716

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Staff Software Engineer, Personalization - News Corp , recognized as the No. 1 trusted site among real estate professionals, has been a leader in online real estate for over 25 years. We connect buyers, sellers, and renters with trusted insights and expert guidance to help them find their perfect home. Our platform offers a robust suite of tools that make the real estate journey easy to navigate, understand, and decide upon. Join us to empower more people to find their way home by breaking barriers to entry, making meaningful connections, and building confidence through expert guidance. As a Staff Software Engineer at , you will take a leading technical role, influencing architecture and design decisions across multiple teams. Your responsibilities include leading the development of critical backend services and recommender systems, impacting millions of users. You will focus on building scalable, high-performance applications, integrating machine learning models, and fostering innovation within our engineering teams. Technologies you will work with include AWS, Elasticsearch, GenAI, and Node.js. Three Reasons to Apply: Help build our next-generation Personalization Platform with cutting-edge technologies Contribute to improving recommendations for millions of users Gain hands-on experience with large-scale recommendation systems About the Role: Serve as a technical lead for key projects, focusing on scalable backend services and recommender systems, leading cross-squad projects, and collaborating with cross-functional teams and stakeholders. Develop AI-native services. Design, build, and optimize high-performance recommender systems to ensure relevance, accuracy, and speed for millions of users. Collaborate with teams to define and implement solutions that drive product innovation, scalability, and performance. Own the design and development of complex features, including data pipelines and integrating advanced machine learning models into recommender systems to personalize user experiences across web and mobile. Drive performance optimizations to ensure low-latency and high availability. Mentor and coach engineers on best practices, technical problem-solving, and search technologies. Contribute to the technical roadmap and long-term architecture vision, fostering innovation and reducing technical debt. Participate in hiring and developing engineering talent, promoting a culture of collaboration and continuous improvement. About You: Highly skilled software engineer with extensive experience in building scalable solutions and backend services. Proven leadership in delivering complex features with high quality and scalability. Experience with LLM, RAG, and other Gen-AI technologies is a significant plus. Strong communication and collaboration skills, capable of engaging effectively with product managers, stakeholders, and engineers, and driving technical vision across the organization. 7+ years of software development experience, with specific expertise in recommender systems. Experience with cloud architectures and services, especially AWS (Lambda, EC2, S3) and Kubernetes. Proficient in designing and implementing data pipelines and integrating machine learning models into production applications. Bachelor's or Master's degree in Computer Science/Engineering or equivalent professional experience. About : At , we believe in building strong teams to solve complex problems and create products that transform the home-buying experience. Join us to make homeownership easier and more rewarding with exceptional products relied upon by millions daily. Work with a diverse team of experts, using leading-edge technology to help everyone find their way home. At , you'll bring your full self to work, innovate swiftly, serve our consumers, and support your teammates. We offer a warm, inclusive culture, intellectual challenges, and growth opportunities. Diversity is vital to us. is an Equal Opportunity Employer, welcoming applicants regardless of age, race, gender, sexual orientation, gender identity, or other protected characteristics. We also provide reasonable accommodations for qualified disabled individuals. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, veteran status, or disability. #J-18808-Ljbffr