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