Kubernetes Engineer

Job Overview

• Design and implement cloud-native infrastructure using Kubernetes and container orchestration platforms.
• Develop and manage PaaS infrastructure components including compute, database, storage, and integration services.
• Must have experience around software defined networking and familiar with service mesh like Istio, Envoy, etc
• Build & manage IaC modules to provision and maintain infrastructure using tools like Terraform, Pulumi, etc.
• Automate infrastructure provisioning and configuration using DevOps tools such as Azure DevOps (ADO) and GitHub.
• Knowledge of hardened automation techniques, such as vaulting secrets, RBAC, and encrypted communications
• Designing and deploying scalable, highly available, and fault-tolerant systems majorly on Azure cloud platforms.
• Must have knowledge of GitOps concepts and tools like Flux, ArgoCD, etc
• Must have knowledge of one of the programming languages such as .NET, Node.js, or Java.
• Collaborate with cross-functional teams to define infrastructure requirements and ensure alignment with cloud architecture best practices.
• Monitor and optimize performance, scalability, and reliability of cloud infrastructure components.
• Ensure security, compliance, and governance across cloud-native and PaaS infrastructure deployments.

Qualifications

• Bachelor’s degree in computer science, Engineering, or related field.
• Proven experience in cloud infrastructure engineering with a focus on cloud-native and PaaS services.
• Proficiency in Kubernetes, containerization, and orchestration tools.
• Hands-on experience with Terraform, Pulumi, and other IaC tools.
• Proficiency in scripting languages: Bash, PowerShell, GO, and Python.
• Experience with Azure PaaS services or equivalent cloud platforms.
• Strong understanding of DevOps practices and tools including ADO and GitHub.
• Programming experience in .NET, Node.js, or Java for infrastructure automation.
• Excellent problem-solving skills and ability to work in a collaborative environment.

CPUS Engineering employs artificial intelligence (AI) tools as part of its recruitment process to enhance efficiency and consistency. These tools may assist with activities such as application screening, candidate evaluation, and summarization of interview feedback.

AI-generated outputs are intended to supplement, not replace, human judgment. All final hiring decisions are made by qualified human decision-makers who exercise professional discretion in reviewing and assessing candidate information alongside any AI-generated insights.

CPUS Engineering ensures that the use of AI in recruitment complies with all applicable employment laws, human rights legislation, and privacy regulations. The organization is committed to maintaining fairness, transparency, and non-discrimination throughout the hiring process.