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Senior Kubernetes Platform Engineer AI Infrastructure (W2 Position)

Teknosys Inc

Hybrid in Santa Clara, California • 3d ago

Easy Apply

Third Party, Contract

Depends on Experience

Job Details

Skills

Kubernetes
container runtimes
Helm
GitOps or declarative operations
GPU
Python
Bash
or Go

Summary

Greetings!

We have Kubernetes platform engineer Position.

Please find the Job description as below:

Workstyle: Hybrid

Location : Raleigh, NC

*Candidate must be available for in-person interview.

Role Summary
We are seeking a senior Kubernetes platform engineer to support AI infrastructure environments used for model development, distributed training, inference services, and shared platform operations. The role requires deep cluster troubleshooting expertise in mixed bare-metal and data center environments.

Responsibilities

Build, administer, and troubleshoot Kubernetes platforms supporting AI and data-intensive workloads.
Diagnose failures across control plane components, kubelet, CNI, CSI, ingress, service discovery, scheduling, node lifecycle, container runtime, and resource isolation.
Support GPU-enabled Kubernetes environments, including device plugin behavior, driver dependencies, node health, and workload placement.
Improve reliability through automation, standardized configuration, upgrade planning, and cluster validation gates.
Investigate issues involving storage throughput, network policy, DNS, image pulls, autoscaling, pod eviction, and degraded node states.
Partner with Linux, networking, validation, and SRE teams to resolve cross-layer failures.
Create reusable runbooks, dashboards, and health checks for day-2 support.
Contribute to platform hardening, tenant readiness, and service-level objectives.

Required Skills

7+ years of infrastructure engineering experience.
Deep hands-on Kubernetes administration experience.
Strong understanding of Kubernetes internals and cluster troubleshooting.
Experience with container runtimes, Helm, GitOps or declarative operations, and cluster lifecycle management.
Experience supporting GPU workloads on Kubernetes.
Strong Linux administration background.
Understanding of data-center networking dependencies.
Ability to debug from symptom to root cause across node, pod, network, storage, and control-plane layers.
Scripting and automation skills in Python, Bash, or Go.

Preferred

Kubeflow
Argo
Prometheus
Grafana
Loki
Service mesh technologies
Bare-metal Kubernetes
High-performance storage integration
Regulated or high-change-control production environments

Kindly share updated resume in word format and LinkedIn profile link.

Thanks and Regards,
Shruti Kumari
IT Recruiter / HR - Teknosys, Inc

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10233818
Position Id: 9070176
Posted 10 days ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Shruti Kumari

Recruiter @ Teknosys Inc

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Santa Clara, California

•

12d ago

Senior Kubernetes Platform Engineer AI InfrastructureLocation: Santa Clara, CA Onsite Job Type: W2 Contract Experience: 7+ Years Domain: AI Infrastructure / Kubernetes / Cloud Platform Position OverviewWe are seeking a Senior Kubernetes Platform Engineer to support AI infrastructure environments focused on model development, distributed training, inference services, and shared platform operations. The ideal candidate will have deep hands-on Kubernetes administration and troubleshooting experie

Easy Apply

Contract

Depends on Experience

Kubernetes Platform Engineer

Santa Clara, California

•

12d ago

Role: Kubernetes Platform Engineer Location: Santa Clara, CA(Onsite) AI Infrastructure The Candidate will provide senior Kubernetes platform engineering services for AI infrastructure environments supporting model development, distributed training, inference services, and shared platform operations. The role requires strong cluster troubleshooting ability plus pragmatic platform engineering skills in mixed bare-metal and data center environments. WHAT THIS CANDIDATE WILL BE DOING Build, administ

Easy Apply

Contract

Depends on Experience

Senior Kubernetes DevOps Engineer - K0rdent AI Apps/Core Services

San Jose, California

•

Today

Company Description Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment-on-premises, in the cloud, at the edge, or in so

Full-time

AI Inference Core - Senior SW Engineer for Platform & DevOps

Sunnyvale, California

•

Today

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprise

Full-time

Job Details

Skills

Kubernetes
container runtimes
Helm
GitOps or declarative operations
GPU
Python
Bash
or Go

Summary

Greetings!

We have Kubernetes platform engineer Position.

Please find the Job description as below:

Workstyle: Hybrid

Location : Raleigh, NC

*Candidate must be available for in-person interview.

Responsibilities

Build, administer, and troubleshoot Kubernetes platforms supporting AI and data-intensive workloads.
Diagnose failures across control plane components, kubelet, CNI, CSI, ingress, service discovery, scheduling, node lifecycle, container runtime, and resource isolation.
Support GPU-enabled Kubernetes environments, including device plugin behavior, driver dependencies, node health, and workload placement.
Improve reliability through automation, standardized configuration, upgrade planning, and cluster validation gates.
Investigate issues involving storage throughput, network policy, DNS, image pulls, autoscaling, pod eviction, and degraded node states.
Partner with Linux, networking, validation, and SRE teams to resolve cross-layer failures.
Create reusable runbooks, dashboards, and health checks for day-2 support.
Contribute to platform hardening, tenant readiness, and service-level objectives.

Required Skills

7+ years of infrastructure engineering experience.
Deep hands-on Kubernetes administration experience.
Strong understanding of Kubernetes internals and cluster troubleshooting.
Experience with container runtimes, Helm, GitOps or declarative operations, and cluster lifecycle management.
Experience supporting GPU workloads on Kubernetes.
Strong Linux administration background.
Understanding of data-center networking dependencies.
Ability to debug from symptom to root cause across node, pod, network, storage, and control-plane layers.
Scripting and automation skills in Python, Bash, or Go.

Preferred

Kubeflow
Argo
Prometheus
Grafana
Loki
Service mesh technologies
Bare-metal Kubernetes
High-performance storage integration
Regulated or high-change-control production environments

Kindly share updated resume in word format and LinkedIn profile link.

Thanks and Regards,
Shruti Kumari
IT Recruiter / HR - Teknosys, Inc

Dice Id: 10233818
Position Id: 9070176
Posted 10 days ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Shruti Kumari

Recruiter @ Teknosys Inc

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Santa Clara, California

•

12d ago

Easy Apply

Contract

Depends on Experience

Kubernetes Platform Engineer

Santa Clara, California

•

12d ago

Easy Apply

Contract

Depends on Experience

Senior Kubernetes DevOps Engineer - K0rdent AI Apps/Core Services

San Jose, California

•

Today

Full-time

AI Inference Core - Senior SW Engineer for Platform & DevOps

Sunnyvale, California

•

Today

Full-time

Senior Kubernetes Platform Engineer AI Infrastructure (W2 Position)

Skills

Summary

Dice Job Match Score™

Shruti Kumari

Similar Jobs

Senior Kubernetes Platform Engineer AI Infrastructure (W2 Position)

Job Details

Skills

Summary

Dice Job Match Score™

Shruti Kumari

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