Innovation-K8S- Lead
• Extensive Expertise of Kubernetes platform Architectuire , kubectl, YAML, and the Kubernetes component ecosystem is essential, along with a proactive approach to monitoring, security, and reliability of Kubernetes Platform .
• Expertise in Cluster Availability | Service Availability | Increase API Responsiveness | Minimize POD Scheduling Latency | Increase Cluster Scaling | Optimize Resource Utilization | | Fault Tolerance using Self Healing , Multi AZ Resiliency , | Enable Automated Backup , Restore, Recovery Point and Maintaining Cluster Uptime
• Hands on Knowledge on the below :
• Cluster Architecture: Deep understanding of master/worker nodes, control plane components, etcd, and networking.
• Resource Management: Proficiency with Deployments, StatefulSets, DaemonSets, Jobs, CronJobs, ConfigMaps, Secrets, PersistentVolumes, and PersistentVolumeClaims.
• Namespace & RBAC: Effective use of namespaces and role-based access control for multi-tenancy and security.
• Networking: Knowledge of CNI plugins, network policies, ingress controllers, and service discovery.
• Pod Security: Implementing Pod Security Standards, admission controllers, and runtime security
• Secrets Management: Secure handling of credentials, API keys, and sensitive data
• Network Security: Enforcing network policies, TLS encryption, and API security.
• Compliance: Ensuring data governance, audit logging, and regulatory compliance for AI workloads.
• Managing Kubernets platform Certifcates : PEM, CRT, P7B, JKS, P12, PFX
• Must have Related Experience with AI Enabled features for managing Kubernetes Platform Operations
• GPU/Accelerator Management: Configuring and managing GPU nodes (NVIDIA, AMD), device plugins, and resource allocation.
• ML Frameworks on Kubernetes: Experience with Kubeflow, MLflow, TensorFlow Serving, PyTorch on Kubernetes, etc.
• Distributed Training: Understanding of distributed ML workloads (Horovod, MPI, Ray) and their orchestration.
Experience: 5-8 Years .
The expected compensation for this role ranges from $60,000 to $135,000 .
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
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