Job
Description
ACloud Software Developer for OpenShift is responsible for designing, developing, deploying, and maintaining cloud-native applications onRed Hat OpenShift. Their role primarily involves working withcontainers, Kubernetes, and DevOps practices to build scalable, resilient, and secure cloud applications.
Roles & Responsibilities:Design and developcloud-native applications using OpenShift.Containerize applications usingDocker and deploy them onKubernetes.Implementmicroservices architecture and ensure scalability.Develop applications using languages likeJava, Python, Go, or Node.js.Configure and manageOpenShift clusters.Develop and manageOperators for automating OpenShift workflows.Work withOperators for efficient application deployment
Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 2 years of industrial experience in working with Unix/Linux based products developed using C or C++ or Go Lang programming language.Minimum 2 - 3 years of experience in leading development or support teams troubleshooting to resolve issues.Good experience in development/support experience in working with various network protocols (Layer 2 - Layer5) and devices (routers, switches, firewalls, load balancers, VPN, QoS).Must have knowledge of virtualization, Operating systems internals and Hypervisor (kVM, z/VM, Hyper-V)Expertise in Translate Technical specification or customer requirements, Preparing of HLD/LLD and Working closely with Team members in translating the Specifications /design into product deliverables.Good understanding of Enterprise servers, firmware, patches, hotfixes, and security configurations.Proven operational experience in network operations including incident, change and problem management.Excellent analytical and problem-solving skills.Excellent written and verbal communication skills.Ability to effectively communicate product architectures, design proposals and negotiate options at senior management levels.Experience in working with global teams/partner labs.
Preferred technical and professional experience Solid understanding of systems hardware & architecture
Good understanding operating systems internals/Kernel (Process Management, Memory Management, Virtualization, Scheduling, I/O (Networking & Storage), Security, etc.)
Understanding of AI/ML model deployments, AI lifecycle, Hands on experience on deploying AI/ML models on cloud