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Senior Lead Infrastructure Engineer Storage Mythos

  • Senior Lead Infrastructure Engineer Storage Mythos job type Posted on: Oct 14, 2026
  • Senior Lead Infrastructure Engineer Storage Mythos experience level VDart Inc
  • Senior Lead Infrastructure Engineer Storage Mythos employment type Irving, Texas
  • Senior Lead Infrastructure Engineer Storage Mythos employment type Onsite
  • Senior Lead Infrastructure Engineer Storage Mythos salary CTC

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Job Title :

Senior Lead Infrastructure Engineer Storage Mythos

Job Type :

Contract

Job Location :

Irving Texas United States

Remote :

No

Jobcon Logo Job Description :

Role: Senior / Lead Infrastructure Engineer (Storage Mythos)

Location: Irving, TX (Onsite)

Type: Contract

Job Description:

  • The Storage Engineering team is seeking a Senior / Lead Infrastructure Engineer with deep expertise in enterprise storage platforms, data protection ecosystems, and automation frameworks to lead validation and testing efforts.
  • This role will drive automation strategy, testing frameworks, and large-scale validation to ensure the reliability, performance, and resilience of storage systems, with a primary focus on accelerating patching across the environment.

In this role, you will:

  • Lead automation frameworks (Python, Playwright/Selenium) for validating storage and data workflows supporting accelerated patching
  • Design and execute validation for:
  • High-velocity patch distribution and deployment workflows
  • Storage performance during patching (IOPS, throughput, latency)
  • API and distributed system integration for patch orchestration
  • Define and execute validation strategies across:
  • PowerMax / PowerFlex (high-performance block storage)
  • NetApp FAS (multi-protocol access for distributed repositories)
  • StorageGRID (S3 object storage for artifacts, staging, and distribution)
  • Cohesity (backup, recovery, and cyber resilience)
  • Validate data protection, replication, and disaster recovery for storage systems supporting accelerated patching
  • Build reusable automation frameworks and integrate into CI/CD pipelines for continuous validation
  • Use Terraform (IaC) to provision and validate storage environments optimized for rapid patching

Drive testing for:

  • Data integrity and consistency of patch artifacts
  • High-volume data movement across environments and endpoints
  • Lead deep troubleshooting and root cause analysis across storage and patch deployment workflows
  • Platform Focus Areas
  • Cohesity: Backup/restore, cyber recovery, and protection of repositories and configurations
  • PowerMax / PowerFlex: Low-latency, high-throughput storage to support rapid patch deployment
  • NetApp FAS: Shared access (NFS/SMB/iSCSI/FC) for staging, repositories, and lifecycle management
  • StorageGRID: S3 object storage for artifact storage, ingestion, and large-scale distribution

Basic Qualifications

  • Bachelor's degree or equivalent experience
  • 5+ years in storage, automation, or infrastructure engineering
  • Strong Python and automation experience
  • Knowledge of block, file, object storage, and data protection
  • Minimum Qualifications
  • 5+ years with enterprise storage platforms (Cohesity, PowerMax/PowerFlex, NetApp, StorageGRID)
  • Experience leading automation and validation for distributed infrastructure systems and patch deployment processes

Expertise in:

  • High-volume data delivery and validation
  • Backup/restore, replication, and DR at scale
  • Data integrity and large artifact handling
  • Terraform (IaC) and CI/CD integration
  • Advanced troubleshooting across storage, compute, and distributed systems

Desired Qualifications

  • Direct experience supporting accelerated patching initiatives or large-scale update delivery environments
  • Multi-cloud storage architectures (AWS, Azure, GCP)
  • Kubernetes/CSI storage integrations
  • Performance benchmarking for high-throughput systems
  • Observability tools (Grafana, Prometheus, Splunk)

Job Expectations

  • Act as SME for storage and data infrastructure with a focus on accelerating patching across storage systems
  • Lead cross-functional initiatives across Storage, DevOps, and Platform Engineering teams
  • Deliver scalable, production-grade automation for validation and patch delivery workflows
  • Drive improvements in system performance, scalability, resiliency, and patch deployment velocity
  • Mentor engineers and provide clear technical insights and recommendations

Jobcon Logo Position Details

Posted:

Oct 14, 2026

Reference Number:

101500-5195

Employment:

CTC

City:

Irving

Job Origin:

CIEPAL_ORGANIC_FEED

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Role: Senior / Lead Infrastructure Engineer (Storage Mythos)

Location: Irving, TX (Onsite)

Type: Contract

Job Description:

  • The Storage Engineering team is seeking a Senior / Lead Infrastructure Engineer with deep expertise in enterprise storage platforms, data protection ecosystems, and automation frameworks to lead validation and testing efforts.
  • This role will drive automation strategy, testing frameworks, and large-scale validation to ensure the reliability, performance, and resilience of storage systems, with a primary focus on accelerating patching across the environment.

In this role, you will:

  • Lead automation frameworks (Python, Playwright/Selenium) for validating storage and data workflows supporting accelerated patching
  • Design and execute validation for:
  • High-velocity patch distribution and deployment workflows
  • Storage performance during patching (IOPS, throughput, latency)
  • API and distributed system integration for patch orchestration
  • Define and execute validation strategies across:
  • PowerMax / PowerFlex (high-performance block storage)
  • NetApp FAS (multi-protocol access for distributed repositories)
  • StorageGRID (S3 object storage for artifacts, staging, and distribution)
  • Cohesity (backup, recovery, and cyber resilience)
  • Validate data protection, replication, and disaster recovery for storage systems supporting accelerated patching
  • Build reusable automation frameworks and integrate into CI/CD pipelines for continuous validation
  • Use Terraform (IaC) to provision and validate storage environments optimized for rapid patching

Drive testing for:

  • Data integrity and consistency of patch artifacts
  • High-volume data movement across environments and endpoints
  • Lead deep troubleshooting and root cause analysis across storage and patch deployment workflows
  • Platform Focus Areas
  • Cohesity: Backup/restore, cyber recovery, and protection of repositories and configurations
  • PowerMax / PowerFlex: Low-latency, high-throughput storage to support rapid patch deployment
  • NetApp FAS: Shared access (NFS/SMB/iSCSI/FC) for staging, repositories, and lifecycle management
  • StorageGRID: S3 object storage for artifact storage, ingestion, and large-scale distribution

Basic Qualifications

  • Bachelor's degree or equivalent experience
  • 5+ years in storage, automation, or infrastructure engineering
  • Strong Python and automation experience
  • Knowledge of block, file, object storage, and data protection
  • Minimum Qualifications
  • 5+ years with enterprise storage platforms (Cohesity, PowerMax/PowerFlex, NetApp, StorageGRID)
  • Experience leading automation and validation for distributed infrastructure systems and patch deployment processes

Expertise in:

  • High-volume data delivery and validation
  • Backup/restore, replication, and DR at scale
  • Data integrity and large artifact handling
  • Terraform (IaC) and CI/CD integration
  • Advanced troubleshooting across storage, compute, and distributed systems

Desired Qualifications

  • Direct experience supporting accelerated patching initiatives or large-scale update delivery environments
  • Multi-cloud storage architectures (AWS, Azure, GCP)
  • Kubernetes/CSI storage integrations
  • Performance benchmarking for high-throughput systems
  • Observability tools (Grafana, Prometheus, Splunk)

Job Expectations

  • Act as SME for storage and data infrastructure with a focus on accelerating patching across storage systems
  • Lead cross-functional initiatives across Storage, DevOps, and Platform Engineering teams
  • Deliver scalable, production-grade automation for validation and patch delivery workflows
  • Drive improvements in system performance, scalability, resiliency, and patch deployment velocity
  • Mentor engineers and provide clear technical insights and recommendations

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