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Glen Jarvis

Staff Site Reliability Engineer specializing in cloud infrastructure and automation

Remote, NYSoftware Engineer17 years experienceStaffTechnologyDevOpsCloud Computing
ScreenedReferences VerifiedIdentity VerifiedStrongly Recommended

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About

Infrastructure/automation engineer with experience bridging post-acquisition environments (Pandora + SiriusXM) by building an API-driven integration to provision Debian workloads on RHV while preserving iPXE-based imaging workflows. Strong in deep debugging across virtualization/network/OS layers (e.g., resolving virtio/vCPU contention causing network/NFS issues) and in extending automation tooling via custom Ansible/Python modules. Also has exposure to biomanufacturing on-prem devices (Hamiltons, shakers) alongside AWS microservices.

Experience

Software EngineerOSLabs
Staff (Site Reliability) Systems EngineerSiriusXM Radio
Staff Site Reliability Software EngineerBlueprint Ops
Engineering Manager, DevOpsSynthego
Senior Software Engineer, DevOpsRepairPal
Senior Software Engineer, DevOpsVirtustream
Senior Software Engineer, DevOpsMobile Spinach

Education

University of Missouri–Rollabachelor, Computer Science

Key Strengths

  • Built from scratch an API-driven system to provision Debian VMs on Red Hat Virtualization while integrating with a custom inventory/control database
  • Maintained legacy imaging workflows by adapting iPXE/DHCP-based imaging to virtual machines
  • Proactive reliability engineering: automated cross-datacenter image tests with rapid Slack alerting to catch network/imaging regressions early
  • Cross-layer debugging (virtualization, OS, networking): identified vCPU quota/virtio driver contention as root cause of intermittent network/NFS issues and resolved via planned live vCPU upgrades
  • Extended automation tooling by writing a private ansible-galaxy compliant module when upstream Ansible behavior couldn’t be changed
  • Deep understanding of Ansible module execution and practical debugging techniques (verbosity, preserving remote artifacts)
  • Effective cross-team collaboration with datacenter and network teams to isolate issues and deliver workable solutions

Reference Highlights

Strongly Recommended
  • Very capable in real production environments
  • Broad technical knowledge
  • Strong debugging and diagnostic ability
  • Patient
  • Strong mentor/teacher
  • Helps others troubleshoot gracefully
  • Adaptable under fast-changing conditions
  • Empathetic communicator
  • Cool-headed under pressure
  • Able to create strong execution plans
  • Improves team workflow and organization
  • Technically strong across the full stack
  • Clearly articulates goals and issues
  • Pleasure to work with

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Contact

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Languages

EnglishGerman

Skills

PythonTypeScriptPostgreSQLMongoDBLinuxJavaScript (ES6+)ExpressAWSAmazon Route 53Amazon S3Amazon CloudFrontAmazon EC2Amazon VPCAmazon RDSAmazon SQS