Staff Kubernetes Platform Engineer, Infrastructure

Mural Group

. Design and build core platform systems, including APIs, controllers, operators and reconciliation loops .

Posted 11/2/2026full-timeRemote • United StatesLead💰 $270,400 - $365,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building core platform systems, particularly with Kubernetes, while ensuring robust failure handling and consistency in distributed systems. Proven ability to collaborate with cross-functional teams and maintain production software through rigorous SDLC practices.

Highest-signal resume keywords

Kubernetes Platform ExperienceDistributed Systems KnowledgeProduction Software MaintenanceSDLC ExperienceTechnical Direction Setting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

API DesignProduction Code DebuggingKubernetes OperatorsConsensus AlgorithmsCI/CD PracticesStaged RolloutsObservability TechniquesFault Domain ManagementAdmission ControlNode Lifecycle Management

Tools & Technologies

KubernetesAI WorkloadsInference PlatformsDevice PluginsCoding Agents

Industry Keywords

Cloud InfrastructureHyperscaler ExperienceNeocloud ExperienceBackend Changes ManagementTechnical Direction

Tech Stack

Tools & technologies

Distributed SystemsKubernetesNode.jsSDLC

About the role

Key responsibilities & impact

Design and build core platform systems, including APIs, controllers, operators and reconciliation loops
Write, review, test, debug and operate production code
Build a commercial Kubernetes service for dedicated customers running AI workloads
Design failure handling, consistency and recovery across distributed systems
Define stable platform APIs that shield customers from backend changes
Work closely with infrastructure, inference, networking and security teams
Help set the technical direction of the managed Kubernetes platform

Requirements

What you’ll need

Must be based in Dallas, San Francisco or New York City
Track record of shipping and maintaining production software
Deep Kubernetes platform experience with operators, CRDs, admission control and node lifecycle
Practical distributed systems knowledge including consensus, leader election, eventual consistency and fault domains
Rigorous SDLC experience including design reviews, CI/CD, staged rollouts, rollback and observability
Nice to have: delivered a Kubernetes or infrastructure control plane as a product
Nice to have: hyperscaler or neocloud experience running AI or GPU workloads
Nice to have: experience with inference platforms, accelerators or device plugins
Nice to have: daily use of coding agents such as Claude Code or Codex
Must be authorized to work in the U.S. or address U.S. work authorization and sponsorship requirements

Benefits

Comp & perks

Bonus folded into base salary
Equity component on top of base salary
Remote work for now
Hybrid planned further down the road