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Urgent! K8S Lifecycle Automation Eng Job Opening In New Delhi – Now Hiring LTIMindtree
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
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Unlock Your K8S Lifecycle Potential: Insight & Career Growth Guide
Real-time K8S Lifecycle Jobs Trends in New Delhi, 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 K8S Lifecycle in New Delhi, 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 1365 jobs in India and 42 jobs in New Delhi. This comprehensive analysis highlights market share and opportunities for professionals in K8S Lifecycle roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! LTIMindtree is currently hiring and seeking a K8S Lifecycle Automation Eng to join their team. Feel free to download the job details.
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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:The average salary range for a K8S Lifecycle Automation Eng Jobs India varies, but the pay scale is rated "Standard" in New Delhi. 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.
Key qualifications for K8S Lifecycle Automation Eng typically include Engineers 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.
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