Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: GPU Cloud Kubernetes Automation Specialist.
India Jobs Expertini

Urgent! GPU Cloud Kubernetes Automation Specialist Job Opening In India, India – Now Hiring LTIMindtree

GPU Cloud Kubernetes Automation Specialist



Job description

Job Description:

Senior Kubernetes Platform Engineer (Zero-Touch GPU Cloud – GitOps Automation)


We are looking for a Senior Kubernetes Platform Engineer with 10+ years of infrastructure experience to design and implement the Zero-Touch Build, Upgrade, and Certification pipeline for our on-premises GPU cloud platform.

This role focuses on automating the Kubernetes layer and its dependencies (e.G., GPU drivers, networking, runtime) using 100% GitOps workflows.

You will work across teams to deliver a fully declarative, scalable, and reproducible infrastructure stack—from hardware to Kubernetes and platform services.


Key Responsibilities

  • Architect and implement GitOps-driven Kubernetes cluster lifecycle automation using tools like kubeadm, ClusterAPI, Helm, and Argo CD.
  • Develop and manage declarative infrastructure components for:
  • GPU stack deployment (e.G., NVIDIA GPU Operator)
  • Container runtime configuration (Containerd)
  • Networking layers (CNI plugins like Calico, Cilium, etc.)
  • Lead automation efforts to enable zero-touch upgrades and certification pipelines for Kubernetes clusters and associated workloads.
  • Maintain Git-backed sources of truth for all platform configurations and integrations.
  • Standardize deployment practices across multi-cluster GPU environments, ensuring scalability, repeatability, and compliance.
  • Drive observability, testing, and validation as part of the continuous delivery process (e.G., cluster conformance, GPU health checks).
  • Collaborate with infrastructure, security, and SRE teams to ensure seamless handoffs between lower layers (hardware/OS) and the Kubernetes platform.
  • Mentor junior engineers and contribute to the platform automation roadmap.


Required Skills & Experience

  • 10+ years of hands-on experience in infrastructure engineering, with a strong focus on Kubernetes-based environments.
  • Primary key skills required are Kubernetes API, Helm templating, Argo CD GitOps integration, Go/Python scripting, Containerd
  • Deep knowledge and hands-on experience with:
  • Kubernetes cluster management (kubeadm, ClusterAPI)
  • Argo CD for GitOps-based delivery
  • Helm for application and cluster add-on packaging
  • Containerd as a container runtime and its integration in GPU workloads
  • Experience deploying and operating the NVIDIA GPU Operator or equivalent in production environments.
  • Solid understanding of CNI plugin ecosystems, network policies, and multi-tenant networking in Kubernetes.
  • Strong GitOps mindset with experience managing infrastructure as code through Git-based workflows.
  • Experience building Kubernetes clusters in on-prem environments (vs.

    managed cloud services).
  • Proven ability to scale and manage multi-cluster, GPU-accelerated workloads with high availability and security.
  • Solid scripting and automation skills (Bash, Python, or Go).
  • Familiarity with Linux internals, systemd, and OS-level tuning for container workloads.
  • Bonus:
  • Experience with custom controllers, operators, or Kubernetes API extensions
  • Contributions to Kubernetes or CNCF projects
  • Exposure to service meshes, ingress controllers, or workload identity providers


Required Skill Profession

Computer Occupations



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your GPU Cloud Potential: Insight & Career Growth Guide


  • Real-time GPU Cloud Jobs Trends in India, India (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for GPU Cloud in India, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 76437 jobs in India and 4884 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in GPU Cloud roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

  • Are You Looking for GPU Cloud Kubernetes Automation Specialist Job?

    Great news! is currently hiring and seeking a GPU Cloud Kubernetes Automation Specialist to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

  • The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at LTIMindtree adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:
    • 1. Independence
    • 2. Loyalty
    • 3. Impartiality
    • 4. Integrity
    • 5. Accountability
    • 6. Respect for human rights
    • 7. Obeying India laws and regulations
  • What Is the Average Salary Range for GPU Cloud Kubernetes Automation Specialist Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

  • What Are the Key Qualifications for GPU Cloud Kubernetes Automation Specialist?

    Key qualifications for GPU Cloud Kubernetes Automation Specialist typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.

  • How Can I Improve My Chances of Getting Hired for GPU Cloud Kubernetes Automation Specialist?

    To improve your chances of getting hired for GPU Cloud Kubernetes Automation Specialist, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

  • Interview Tips for GPU Cloud Kubernetes Automation Specialist Job Success
    LTIMindtree interview tips for GPU Cloud Kubernetes Automation Specialist

    Here are some tips to help you prepare for and ace your job interview:

    Before the Interview:
    • Research: Learn about the LTIMindtree's mission, values, products, and the specific job requirements and get further information about
    • Other Openings
    • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
    • Dress Professionally: Choose attire appropriate for the company culture.
    • Prepare Questions: Show your interest by having thoughtful questions for the interviewer.
    • Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.
    During the Interview:
    • Be Punctual: Arrive on time to demonstrate professionalism and respect.
    • Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.
    • Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.
    • Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.
    • Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.
    • Follow Up: Send a thank-you email to the interviewer within 24 hours.
    Additional Tips:
    • Be Yourself: Let your personality shine through while maintaining professionalism.
    • Be Honest: Don't exaggerate your skills or experience.
    • Be Positive: Focus on your strengths and accomplishments.
    • Body Language: Maintain good posture, avoid fidgeting, and make eye contact.
    • Turn Off Phone: Avoid distractions during the interview.
    Final Thought:

    To prepare for your GPU Cloud Kubernetes Automation Specialist interview at LTIMindtree, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the LTIMindtree's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

  • How to Set Up Job Alerts for GPU Cloud Kubernetes Automation Specialist Positions

    Setting up job alerts for GPU Cloud Kubernetes Automation Specialist is easy with India Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!