Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$75к/год
$90к$120кмедиана$150к
По похожим ролям (50) ~ $120к/год
48
Не очень вакансия
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Обязанности понятны, а работа дает практический опыт с современными инструментами данных, но базовая зарплата $75 000 заметно ниже рыночного ориентира для похожих ролей. При этом уровень ответственности ведущего специалиста и возможные смены по выходным и праздникам делают условия менее привлекательными.
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Ниже рынкаНестандартные сменыСовременные инструментыПонятные задачиСвой продукт
Оценка от Hirify AI
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Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Lead Technical Support - POS (SQL/Snowflake/Python): Investigating complex seller point-of-sale and marketplace integration issues with an accent on transaction tracing, data reconciliation, API troubleshooting, and actionable defect reporting. Focus on reproducing software bugs, validating evidence across logs and systems, enabling integrations, and coaching technical support specialists.
Location: Atlanta, Georgia, United States; in-office 5 days per week for the first 3–6 months, then in-office 3 days per week. Weekend, holiday, daytime, and/or evening hours may be required.
Base pay: $75,000 gross annually.
Company
hirify.global operates a global marketplace for buying and selling tickets to live events through hirify.global in North America and viagogo internationally.
What you will do
Own complex or recurring POS and marketplace issues involving inventory, listings, pricing, order synchronization, and fulfillment; trace transactions across connected systems to identify failures and contributing factors.
Review escalations, validate investigations, resolve issues within scope, and distinguish product defects from configuration, integration, data, or workflow issues.
Enable and configure seller marketplace integrations, validate prerequisites and connectivity, and document changes and outcomes.
Use SQL, Snowflake, application logs, API activity, configuration history, and seller reports to investigate transactions, reconcile discrepancies, and determine issue scope.
Reproduce suspected bugs, prepare actionable reports, consolidate duplicate reports, validate fixes, and communicate findings, workarounds, and progress to sellers and internal teams.
Use Python scripts and approved AI investigation tools for analysis and repeatable troubleshooting, while coaching specialists on SQL, investigation methods, documentation, and escalation quality.
Requirements
At least three years of experience in technical support, application support, or a related role, including independent ownership of complex escalations involving integrated systems.
Experience leading technical investigations, reviewing escalations, and mentoring colleagues or serving as a technical point of contact.
Strong hands-on SQL skills, including joins, aggregations, common table expressions, and window functions; practical experience with Snowflake or a comparable data platform.
Experience reviewing application logs and monitoring data in Azure or AWS and correlating events using timestamps, transaction identifiers, or request identifiers.
Experience reproducing software defects and writing actionable bug reports for Product Operations, Product, or Engineering teams.
Hands-on experience enabling, configuring, or troubleshooting third-party integrations, including APIs, authentication, and data synchronization.
Working Python scripting skills for data analysis, record comparison, and repeatable troubleshooting tasks.
Experience using Salesforce to manage complex cases and investigation records, plus strong written communication and business-to-business customer support skills.
Ability to investigate ambiguous issues, assess business impact, handle elevated access carefully, prioritize competing investigations, and work collaboratively with minimal direction.
Nice to have
Experience supporting ticketing marketplaces, broker operations, or POS platforms, including inventory, listing, order, and fulfillment workflows.
Experience using AI-assisted investigation tools and validating their output against system evidence.
Familiarity with SQL and KQL for querying application logs and supporting investigations.
A degree in information technology, computer science, data analytics, or a related field, or equivalent technical training and practical experience.
Relevant certifications or technical training in Python scripting, SQL, KQL, software testing, or technical troubleshooting, including ISTQB Certified Tester Foundation Level, Microsoft Certified: Azure Administrator Associate (AZ-104), SnowPro Associate: Platform, or AWS Certified Cloud Practitioner.
Culture & Benefits
Full-time position in an environment focused on accelerated skills and knowledge development.
Paid time off, paid parental leave, and comprehensive health, vision, and dental insurance.
401(k) and a compensation package with benefits.
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