Lead Software Engineer – Enterprise Observability (AI)
Контакты
129 300 - 177 800$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
aidata engineeringsplunkautomationinfrastructure as codeci cddistributed systemsloggingopentelemetryobservability
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$129к-178к/год
$150к$190кмедиана$230к
По похожим ролям (49) ~ $190к/год
На СНГ рынке: $5.7к/мес ($4.2к - $6.9к)
69
Хорошая вакансия
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Чёткая роль уровня lead, удалённый формат и бенефиты делают вакансию достойной, но зарплата ниже медианы рынка, а привязка к нескольким городам сужает круг тех, кому она доступна.
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Ниже рынкаПривязка к городамСовременный стекПонятная рольТехнологии в медицине
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Lead Software Engineer – Enterprise Observability (AI): Building and evolving enterprise observability and logging platforms with an accent on OpenTelemetry, log ingestion, event correlation, and resilient distributed systems. Focus on designing AI-native tools for autonomous issue detection and resolution, automating instrumentation and deployment, and scaling integrations across CI/CD, security, networking, and data platforms.
Location: Remote work style, but candidates must live within a commutable distance of Louisville, KY; Tampa, FL; Fort Lauderdale, FL; Dallas, TX; or Washington, D.C. Occasional travel to hirify.global offices may be required.
Salary: $129,300–$177,800 per year, plus eligibility for a bonus incentive plan.
Company
hirify.global is a U.S. healthcare company providing insurance and healthcare services to individuals, families, military personnel, and communities.
What you will do
Architect, build, and optimize enterprise observability and logging platforms for reliability, scalability, and performance.
Develop automation scripts and tools for observability instrumentation, deployment, data routing, transformation, and endpoint monitoring.
Integrate observability into CI/CD pipelines using infrastructure as code and configuration management.
Build AI-native tools for autonomous issue detection and resolution.
Lead observability initiatives, code reviews, validation checks, and cross-functional strategy with SRE, Security, Networking, Platform Engineering, and Data Science teams.
Mentor junior engineers and communicate technical recommendations to leadership.
Requirements
Associate degree in Computer Science, Engineering, or a related field.
7+ years of software or infrastructure engineering experience focused on observability or logging, including hands-on observability design and engineering.
2+ years of hands-on AI development experience, preferably in AI observability, plus experience developing data logging solutions and automation.
Strong foundation in operating systems, networking, algorithms, and distributed systems, with experience maturing and scaling observability environments.
Expertise with Splunk Cloud Enterprise and ES, including SPL, dashboards, correlation searches, data models, HEC, Universal Forwarder, and technology add-on development.
Experience with ServiceNow, SOAR, ITSM/SecOps integrations, monitoring and alerting strategy, cost optimization, continuous delivery, and cross-functional technical leadership.
Culture & Benefits
High-autonomy environment focused on innovation, ownership, agility, and technical excellence.
Dedicated home workspace and reliable internet connection required; minimum speeds are 25 Mbps download and 10 Mbps upload.
Medical, dental, and vision coverage, 401(k) retirement savings, paid time off, company and personal holidays, and paid parental and caregiver leave.
Short- and long-term disability coverage, life insurance, and additional whole-person well-being benefits.
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