aisqltechnical supportapidatadogincident responseobservabilityroot cause analysis
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль описана понятно и дает практический опыт расследования инцидентов в прибыльной растущей компании в сфере healthcare, но смены с выходными и работа в режиме 24/7 - существенные компромиссы.
Смены по выходным
Работа в инцидентах
Актуальные инструменты
Понятные задачи
Прибыльная компания
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Technical Support Engineer (SQL/Datadog): Investigating and resolving complex product, platform, and data-layer issues for a healthcare staffing marketplace with an accent on incident response, reproducible diagnostics, and platform reliability. Focus on implementing validated fixes, performing root cause analysis, and converting recurring issues into monitoring, documentation, and operational improvements.
Location: Remote - APAC; 24/7 operations require availability for 5 days within a 7-day schedule, including weekends. Shifts are assigned based on business needs.
Company
hirify.global operates an app-based healthcare staffing marketplace connecting healthcare professionals with workplaces across the U.S. The company was founded in 2016, has more than 1,000 remote-first employees, and has been profitable since 2022.
What you will do
Monitor escalation channels and the Zendesk Technical Support queue to identify systemic issues early.
Investigate, reproduce, and diagnose complex product, platform, and data-layer issues using Datadog, internal dashboards, SQL, APIs, backend configurations, and feature toggles.
Manage live incidents from detection through closure, coordinating with Support, Engineering, and Product while providing structured stakeholder updates.
Implement and test appropriate fixes before Engineering review and sign-off.
Perform root cause analyses and post-incident reviews, improving monitoring and reducing recurrence.
Maintain operational workflows, create troubleshooting documentation, and turn recurring patterns into actionable improvement proposals.
Requirements
Technical fluency with observability tools, SQL, APIs, backend configurations, and feature toggles; ability to distinguish UI, data, and code-level problems.
Thorough, evidence-based, and reproducible diagnostic investigations with clear handoffs for Engineering.
End-to-end ownership of issues from initial report through confirmed resolution, including stakeholder communication and follow-through.
Ability to remain structured and calm during live incidents while balancing speed and accuracy.
Ability to prioritize incidents, bugs, workflows, and unplanned high-priority requests without letting SLAs slip.
Systems-thinking approach focused on identifying monitoring, tooling, and process gaps and preventing recurrence.
Fluent, professional-level English communication in written and verbal form.
Availability to work 5 days within a 7-day schedule, including weekends, with shifts assigned according to business needs.
Nice to have
Experience with Datadog, Sentry, Snowflake, or similar observability and analytics tools.
Familiarity with SQL and reading application logs.
Background in technical support, SRE, incident response, or a related engineering-adjacent function.
Exposure to AI-assisted coding or agent tooling.
Experience in Operations, Support, or CX environments at scale.
Culture & Benefits
Remote-first work environment supporting a 24/7 operation.
Role emphasizes ownership, rapid response, high standards, clear communication, and continuous prevention of recurring issues.
Weekend availability and variable shifts are required based on business needs.
Hiring process
Application review.
Skills assessment through a case study.
Case interview with the Tech Support Team Lead, followed by an interview with the Head of Worker Experience.
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