Principal Platform Engineer – Kubernetes, Reliability, Distributed Systems

Hewlett Packard Enterprise

. Serve as senior technical authority for Kubernetes platform architecture, reliability, and operational behavior .

Posted 11/10/2026full-timeUnited StatesLead💰 $157,000 - $361,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in Kubernetes platform architecture, high availability, and operational reliability, with a strong focus on incident resolution and cross-team collaboration. Proficient in developing automation and operational frameworks while mentoring engineering teams to enhance organizational capabilities in distributed systems.

Highest-signal resume keywords

Kubernetes Platform ArchitectureHigh Availability StrategiesIncident Response LeadershipObservability EngineeringGo Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

KubernetesLinux SystemsNetworkingTCP/IPContainersGoPythonBashAutomation DevelopmentOperational Frameworks

Soft Skills

Excellent CommunicationLeadershipMentoring

Tools & Technologies

Cloud InfrastructureInfrastructure-as-CodeService MeshesIngress ControllersCNI PluginsCSI Storage SystemsCluster AutoscalingChaos EngineeringGitOps

Industry Keywords

Distributed SystemsService-Level ObjectivesRoot Cause AnalysisFault ToleranceDisaster Recovery

Tech Stack

Tools & technologies

CloudDistributed SystemsDNSKubernetesLinuxNode.jsPythonTCP/IPGo

About the role

Key responsibilities & impact

Serve as senior technical authority for Kubernetes platform architecture, reliability, and operational behavior
Investigate and resolve complex issues involving pod failover, service availability, load balancing, control-plane and node failover, timeouts, resource management, capacity, scaling, and distributed-system recovery
Define and drive improvements to Kubernetes high availability, fault tolerance, and disaster-recovery strategies
Establish technical ownership and operating models for platform capabilities
Lead architecture, design, and implementation of platform improvements across engineering teams
Develop repeatable approaches for diagnosing failures across application, Kubernetes, networking, storage, and infrastructure layers
Improve observability through metrics, logs, traces, alerts, dashboards, and health indicators
Define and monitor service-level objectives and reliability measures
Lead or support major incident response, root-cause analysis, and corrective-action programs
Create technical standards, reference architectures, runbooks, and operational best practices
Mentor senior engineers and raise organizational expertise in Kubernetes and distributed systems
Partner with application, infrastructure, networking, security, and operations teams
Evaluate Kubernetes capabilities and platform technologies
Balance short-term incident resolution with long-term architectural improvements
Own cross-team technical problems, make architecture decisions, establish technical direction, and create reusable platform capabilities

Requirements

What you’ll need

Significant experience designing, building, and operating production Kubernetes platforms
Deep understanding of Kubernetes architecture and core components
Strong knowledge of high-availability and failure-recovery patterns for distributed systems
Experience troubleshooting complex production failures involving Kubernetes, networking, infrastructure, and application services
Experience diagnosing Kubernetes failover behavior, service timeouts, partial failures, network partitions, and degraded cluster states
Experience with Kubernetes cluster upgrade processes
Strong understanding of Linux systems, networking, DNS, TCP/IP, containers, and storage fundamentals
Experience with cloud or on-premises infrastructure and infrastructure-as-code practices
Proficiency in Go, Python, and Bash programming or scripting
Experience developing automation, platform tooling, or operational frameworks
Strong observability and reliability engineering experience using metrics, logs, traces, alerting, and performance analysis
Ability to lead complex technical initiatives across organizational boundaries
Excellent written and verbal communication skills
Ability to operate effectively during high-severity incidents and drive issues through root cause and permanent resolution
Preferred: experience with Kubernetes distributions, service meshes, ingress controllers, CNI plugins, CSI storage systems, cluster autoscaling, distributed databases, consensus systems, multi-cluster or multi-region environments, chaos engineering, SLOs, GitOps, and relevant Kubernetes or cloud certifications

Benefits

Comp & perks

Comprehensive benefits supporting physical, financial, and emotional wellbeing
Personal and professional development programs
Flexible work arrangements to manage work and personal needs
Inclusive workplace and accessibility accommodations
Employee benefits information provided for US employees