Description
We are looking for engineers who have strong coding skills and computer science foundation with passion for building resilient and highly performant distributed systems. As a software engineer in AiDP reliability engineering you will work on one or many projects related to GenAI, ML, Inference and Big data platform. You will: - Build, enhance, and maintain multi-tenant systems employing diverse technologies - Collaborate with multi-functional teams to deliver impactful customer features - Lead projects through full lifecycle, from design discussions to release delivery - Operate, scale, and optimize high-throughput and highly concurrent services - Diagnose, resolve, and prevent production and operational challenges We are looking for enthusiastic engineers with interest in one of the following areas: - ML Engineers - Big Data Engineer - Platform Reliability Engineer
Minimum Qualifications
Bachelor’s Degree in Computer Science, Computer Engineering or equivalent technical degree Proficient programming knowledge in one of the following areas: Python, Java, or Go Programming and ability to read and explain open source codebase Good foundation of Operating Systems, Networking and Security Principles Relevant Internship experience
Preferred Qualifications
Excellent analytical & problem solving skills Exposure to Model Training or Fine Tuning methodologies Exposure to Spark/Flink/Trino/Iceberg and other modern cloud native big data technologies Exposure to Kubernetes and other cloud native technologies like Flux/Argo CD
Learn more about this Employer on their Career Site
