We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Staff Software Engineer (Remote - US) at Jobgether. About Jobgether:. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.. One of our companies is currently looking for a . Staff Software Engineer, Product Search and Ranking. in . United States. .. This role is a unique opportunity for an experienced engineer to lead the design and scaling of a high-performance product search and ranking system. You will work on a service processing hundreds of millions of product items, playing a critical role in enhancing user experience through intelligent search, product matching, and personalized ranking. This position requires deep technical expertise in distributed systems, search technologies, and AI/ML, as well as a strong ability to mentor, innovate, and drive complex projects from concept to execution. You’ll collaborate cross-functionally with engineering, product, and leadership teams to build scalable and resilient systems.. Accountabilities:. . Architect and lead the development of a scalable product search and ranking system supporting billions of product listings. . Design and implement high-performance data pipelines, leveraging Golang, Python, and vector databases. . Optimize product discovery using AI-driven methods including embeddings, LLMs, and recommendation engines. . Drive system reliability and scalability, with a focus on performance, fault tolerance, and efficient resource use. . Collaborate with internal teams to ensure seamless integration across catalog, search, and personalization services. . Establish engineering best practices, mentor peers, and contribute to strategic technical direction. . . 7+ years of experience in distributed systems, software architecture, or backend engineering. . Strong command of Golang, Python, and experience with search, recommendation, or ranking systems. . Proven experience building scalable infrastructure and data systems across high-growth environments. . Understanding of AI/ML frameworks and experience in fine-tuning or deploying LLMs or recommendation models. . Excellent communication and leadership skills, with a track record of mentoring teams and leading technical initiatives. . Familiarity with cloud platforms (AWS, GCP, or Azure), containerization (Docker), and orchestration tools (Kubernetes). . Degree in Computer Science or related field preferred; equivalent experience considered. . Company Location: United States.