Engineer Distributed Systems & ML Platform
Posted Apr 2, 2026
Key Responsibilities:
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Develop and maintain large code base by writing readable, modular, and well-tested code. - Build and maintain cutting-edge information retrieval systems with modern technologies. - Research industry advancements and suggest improvements in the core engine. - Lead and mentor junior team members, provide technical guidance, and collaborate effectively with multi-functional teams to deliver complex projects. - Stay updated with the latest advancements in machine learning and data science, and be willing to learn new tools and technologies as needed. Qualifications Required:
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7 years of experience in building and managing big-data platforms and programming experience in Java. - Working experience with search and information retrieval technologies such as Lucene, Solr, Elasticsearch, Milvus, and Vespa. - Experience with Docker, Kubernetes, or EKS. - Experience with debugging issues on distributed systems. - Knowledge of software engineering practices and standard methodologies for the full software development lifecycle. - Experience with public cloud platforms like AWS/GCP. - Created frameworks to deploy platforms in AWS/Azure/GCP. - Experience in building, tuning, scaling, and monitoring applications to process real-time, near-real-time, and batch data. - BS in Computer Science or equivalent. Key Responsibilities:
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Develop and maintain large code base by writing readable, modular, and well-tested code. - Build and maintain cutting-edge information retrieval systems with modern technologies. - Research industry advancements and suggest improvements in the core engine. - Lead and mentor junior team members, provide technical guidance, and collaborate effectively with multi-functional teams to deliver complex projects. - Stay updated with the latest advancements in machine learning and data science, and be willing to learn new tools and technologies as needed. Qualifications Required: