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Cross plane Kubernetes Engineer

Diverse Lynx · Sunnyvale/Austin, CA · Onsite

Strong hiring record · median 3 days open

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Actively hiring

Posted today · still listed on the employer's own board · How we score

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  • Posted today
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Cross plane Kubernetes Engineer at Diverse Lynx. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Pay Rate

$65.00 Per Hour

Location

Sunnyvale, CA/ Austin TX - Onsite role

Duration

6 months

Job Title: Cross plane Kubernetes Engineer

Job Responsibility

We are looking for an experienced Cross-Plane Kubernetes Engineer with strong expertise in Kubernetes platform engineering, infrastructure operations, cloud technologies, and software development. The ideal candidate will be responsible for building, supporting, managing, and troubleshooting Kubernetes platforms across cloud environments while developing automation and tooling using Python and Go (Golang).

The role requires a strong understanding of compute infrastructure, distributed systems, DevOps practices, CI/CD pipelines, and the software layers that support large-scale cloud-native applications.

Key Responsibilities

Kubernetes Platform Engineering

Design, build, deploy, manage, and support Kubernetes clusters, including control plane and worker nodes, cluster lifecycle management, upgrades, scaling, and performance Eligible to workimization.

Cross-Plane Operations

Troubleshoot and resolve issues across Kubernetes control plane, data plane, compute infrastructure, networking, storage, and application layers.

Software Development

Develop automation tools, utilities, and infrastructure management solutions using Python and Go (Golang).

Public Cloud Infrastructure

Work with third-party cloud providers, preferably AWS and Google Cloud Platform (Eligible to workP), to deploy and manage scalable, reliable cloud infrastructure.

DevOps and CI/CD

Implement and maintain CI/CD pipelines, automated deployments, infrastructure-as-code workflows, configuration management, and release automation.

Infrastructure Troubleshooting

Diagnose complex issues involving compute resources, CPU and memory utilization, resource scheduling, networking, storage, operating systems, and application dependencies.

Compute and Capacity Management

Understand workload requirements, resource allocation, capacity planning, performance tuning, and infrastructure Eligible to workimization.

Observability and Reliability

Implement and improve monitoring, logging, alerting, and troubleshooting practices to ensure platform availability and reliability.

Operational Excellence

Automate repetitive operational tasks, improve platform scalability, reduce manual intervention, and contribute to incident management and root-cause analysis.

Cross-Functional Collaboration

Work closely with development, infrastructure, networking, security, and operations teams to resolve complex technical issues and improve platform capabilities.

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