Role Overview
We are seeking an AI & Kubernetes Engineer to design, build, and optimize our infrastructure by leveraging AI tools, specifically Cursor AI. In this role, you will take ownership of our AI-assisted workflows by understanding, managing, modifying, and creating custom Cursor capabilities and skills to maximize engineering velocity across our Kubernetes (K8s) environments. Additionally, you will leverage AI to drive end-to-end project development and execution independent of the specific technologies, languages, or stacks involved.
Core Responsibilities
• Cursor Skills Management: Audit and understand existing Cursor custom skills and context, ensuring they align with our architecture and engineering standards.
• On-Demand Skill Modification: Make real-time, on-demand modifications and iterative improvements to Cursor skills to resolve immediate development bottlenecks.
• New Skill Creation: Build and deploy brand-new Cursor skills, custom instructions, and .cursorrules from scratch to automate repetitive Kubernetes tasks.
• Tech-Agnostic Project Execution: Utilize AI to rapidly adapt to, develop for, and execute projects across any technology stack or programming language required by the business.
• AI-Driven Project Lifecycles: Leverage AI tools to accelerate the entire project lifecycle, from initial architecture and code generation to testing, cross-functional deployment, and documentation.
• Kubernetes Orchestration: Deploy, scale, and manage Kubernetes clusters while using your customized AI workflows to generate manifests, Helm charts, and K8s configurations.
• AI Tool Optimization: Continually refine how the AI interacts with your codebase, feeding relevant documentation, schemas, and cluster configurations into Cursor for highly accurate outputs.
Required Skills & Qualifications
• Advanced Cursor AI Mastery: Proven experience not just using Cursor, but deeply managing, editing, and creating advanced Cursor behaviors, custom skills, and workspace rules.
• AI Logic & Context Engineering: Strong understanding of defining AI constraints, feeding project-specific context, and fine-tuning AI behavior through configuration.
• Polyglot & Adaptive Mindset: Proven ability to use AI as a force multiplier to quickly master and deliver robust code in unfamiliar technical environments, frameworks, or legacy systems.
• Kubernetes Expertise: Deep knowledge of Kubernetes architecture, kubectl, Helm, and cloud-native infrastructure.
• DevOps Automation: Experience integrating AI-optimized code and scripts into modern CI/CD pipelines.
Source: Wipro careers — Read the original posting and apply
This role is listed by the employer on its own careers site. Kaam Ki Khoj does not process applications for it.
Wipro is an employer in the IT/Computers - Software, Software Services sector with operations in India. This is a directory listing maintained by Kaam Ki Khoj so that candidates can find the organisation; it is not an official company page and Kaam K... Read More
Upload your CV once — we read it, build your profile and put you in front of every employer hiring on Kaam Ki Khoj. No forms, no fees.
