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 in highly scalable and distributed system. 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 are looking for enthusiastic engineers passionate about building and maintaining solutioning platform components on cloud and Kubernetes infrastructure. The ideal candidate will go beyond traditional SRE responsibilities by collaborating with stakeholders understanding the applications hosted on the platform and designing automation solutions that enhance platform efficiency reliability and value.
Bachelors Degree in Computer Science Computer Engineering or equivalent technical degree
Proficient programming knowledge in Python or Java and ability to read and explain open source codebase.
Good foundation of Operating Systems Networking and Security Principles
Exposure to DevOps tools such as Ansible and Terraform with experience integrating platform components into Kubernetes and AWS Cloud environments.
Excellent analytical & problem solving skills.
Exposure to Machine Learning and GenAI technologies.
Exposure to datasets management and cost optimisation in cloud.
Exposure to Ray and Ray Serve for building scalable distributed and model-serving platform components.
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