Responsible for the design and optimization of monitoring and alerting strategies for cloud infrastructure, troubleshooting issues, and improving service performance. Provides 24/7 support for Edge Cloud products and collaborates with distributed teams.

Seeking a Senior AI/ML Engineer to design and develop AI-native systems using Generative AI and multi-agent frameworks for real-time networking solutions. Responsibilities include modeling agent behaviors, developing LLM-driven agents, building ML models, and collaborating on AI projects.

The Senior Kubernetes Platform Engineer will design, implement, and maintain the Edge Kubernetes Platform, focusing on security, scalability, and operations for both connected and air-gapped environments.

Lead the platform development for the Edge Kubernetes Platform, overseeing architecture, implementation, and scalability while mentoring a team and ensuring compliance and security.

The Intermediate Kubernetes Platform Engineer will assist in deploying and managing Kubernetes clusters and optimize operations while collaborating on advanced platform engineering topics.

Develop full stack solutions for GenAI applications, optimizing backend services and creating user-friendly interfaces while mentoring junior developers.

The Senior QA Engineer will design automated testing frameworks for Kubernetes platforms, ensure quality through testing strategies, and mentor QA engineers.

The Software Applications Engineer develops networking solutions, focusing on full stack development, microservices, and cloud technologies, while ensuring effective communication and collaboration.

Lead the AI engineering direction and oversee the development and deployment of AI systems, while mentoring teams and ensuring compliance with best practices.

Lead the development of high-performance ML platforms, guide the software lifecycle, and collaborate with teams to drive innovation in Generative AI and networking solutions.

Design and implement end-to-end solutions for Generative AI applications, focusing on backend services and user-friendly frontend experiences while ensuring performance, security, and fault tolerance.

The role involves innovating Generative AI solutions, leading software development lifecycle, and collaborating with teams for model development and deployment in large-scale systems.

As a Cloud Operations Engineer, you will manage cloud service infrastructure, troubleshoot production issues, automate deployments, and improve service operations across various cloud environments.