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QSIC

AI-powered in-store audio monetization platform

Technical Support Engineer 2

IT Service Desk & End User SupportConfirmed live in the last 24 hours
Full-timeDallas, TX, USANo salary listed

About the Job

Requirements

  • At least 2 years in a technical support role resolving issues through independent investigation rather than only applying known runbook fixes.
  • Hands-on Linux command-line experience navigating systems, reviewing logs, managing services, and running diagnostic commands independently.
  • A systematic troubleshooting methodology, including forming hypotheses, testing them deliberately, and progressing with incomplete information.
  • Networking fundamentals applicable to real problems, including DNS, DHCP, static IP, firewall rules, port access, TLS, and NTP.
  • Experience with a CRM or ticketing system and a track record of maintaining accurate, useful case records.
  • Strong written communication for clear case notes, escalation summaries, and customer updates.
  • Ability to manage multiple open cases while tracking status, priority, and next steps.
  • Current, unrestricted authorization to work in the United States; employment visa sponsorship is unavailable now or in the future.

Responsibilities

  • Own L2 cases end-to-end, taking escalations from L1 through resolution or a well-prepared handoff to L3.
  • Apply a structured diagnostic methodology to each case: isolate variables, form and test hypotheses, and document outcomes.
  • Triage issues across the QSIC stack, including device behavior, audio signal path, network connectivity, cloud connectivity, and Salesforce case data.
  • Identify cases requiring L3 escalation and provide logs, test results, timelines, and a clear account of what has been ruled out.
  • Manage the case queue, maintain accurate Salesforce records, communicate with stores and internal stakeholders, and meet SLA targets.
  • Support new-store go-lives by validating site readiness, network access, firewall requirements, power, and physical-environment checks.
  • Troubleshoot post-install failures in real time with installation partners and field technicians to resolve blockers to store go-live.
  • Verify newly deployed devices are online, correctly configured, and streaming as expected; investigate failures promptly.
  • Identify recurring installation failure patterns and document findings for L3 and the Technical Support Manager.
  • Contribute to pre-rollout readiness checks and post-install validation workflows.
  • Resolve ongoing support cases for active stores, including device outages, audio failures, connectivity drops, configuration drift, and post-update regressions.
  • Use monitoring and diagnostic tools to identify stores showing early signs of failure before support cases are generated.
  • Investigate chronic or recurring store issues by reviewing device history, network environment, and prior interventions before attempting a fix.
  • Contribute to truck-roll decisions by assessing whether a site visit is warranted, preparing information for the technician, and defining post-visit success criteria.
  • Support hardware lifecycle activities, including RMA assessments, replacement provisioning, and post-swap validation.
  • Use the Linux command line to inspect system state, review logs, manage services, and execute diagnostic commands on edge devices.
  • Run and adapt existing Python and bash scripts to automate diagnostic tasks, retrieve device data, and validate configurations.
  • Diagnose store-level network issues, considering firewall rules, DNS resolution, DHCP versus static IP configuration, NTP synchronization, and TLS.
  • Distinguish store-side failures from platform-side failures in QSIC's cloud infrastructure and communicate the distinction clearly.
  • Support hardware provisioning and configuration with the warehouse team when deployment volumes require it.
  • Document troubleshooting findings in Salesforce so subsequent L1, L2, or L3 case handlers can continue without starting from zero.
  • Contribute runbooks and knowledge-base articles documenting resolution steps for issues so L1 can handle them independently.
  • Flag gaps in L1 capability or runbook coverage to the Technical Support Manager.
  • Participate in team case reviews and share diagnostic approaches that worked or did not work.

Desired Qualifications

  • Experience supporting hardware in physical environments, such as edge devices, media players, IoT, or retail technology where failures may involve software, hardware, networks, or the environment.
  • Python or bash scripting experience, including the ability to read, run, and modify existing scripts.
  • Exposure to cloud infrastructure concepts, particularly communication between on-premises or edge devices and cloud-hosted services.
  • Experience supporting large-scale deployments or rollouts where installation quality and speed matter.
  • Familiarity with monitoring or observability tools such as Datadog for investigating device or service health.
  • Bilingual fluency in English and Spanish.
  • Experience with Salesforce, which is preferred among CRM or ticketing systems.

About the Company

QSIC

AI-powered in-store audio monetization platform

QSIC provides an AI-powered in-store audio platform that helps retailers improve the customer experience and generate additional revenue by automating in-store audio content and infrastructure and enabling targeted advertising through retail media networks. The platform tunes and manages in-store audio using AI and plugs into retail media networks to insert contextually relevant ads and promotions based on time, location, and shopper signals. It combines AI-driven audio intelligence with an integrated monetization path via retail media networks in one end-to-end solution, rather than just focusing on ambiance or analytics. Its goal is to help retailers enhance in-store atmosphere while opening new ad channels and revenue streams by monetizing the store's soundscape.

Company size
51-200
Company stage
Series B
Total funding
$30.4M
Headquarters
Melbourne VIC, Australia
Founded
2012

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