Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чёткая руководящая роль, ответственность за надежность на уровне компании и практическое применение AI делают вакансию перспективной, хотя работа потребует координации множества команд.
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Современные технологии
AI в эксплуатации
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AVP, DevOps Engineer (AI): Leading the development and operation of an AI-driven observability and reliability platform for enterprise-scale environments with an accent on SRE leadership, Dynatrace observability, intelligent automation, and applied AI/ML. Focus on establishing reliability standards, building self-healing capabilities, reducing MTTR, and driving cloud, Kubernetes, and Infrastructure-as-Code adoption across critical environments.
Location: Austin, TX; Fort Mill or Charlotte, United States
Pay range: $118,141–$196,833 per year
Company
hirify.global is a U.S. wealth management firm providing affiliation models, investment solutions, fintech tools, and practice management services to financial advisors and institutions.
What you will do
Lead, mentor, and develop Site Reliability Engineers focused on observability, reliability, automation, and operational excellence.
Define the enterprise roadmap for observability, AI-driven operations, and reliability engineering using Dynatrace, logs, metrics, traces, RUM, and reporting dashboards.
Oversee AI/ML capabilities for predictive monitoring, anomaly detection, incident correlation, alert optimization, root cause analysis, and self-healing remediation.
Lead major incident management, post-incident reviews, and continuous improvement to reduce MTTR, recurring incidents, outages, and operational toil.
Partner with application, infrastructure, cloud, security, architecture, and business teams to advance platform engineering, CI/CD, Infrastructure as Code, resilience, and operational practices across cloud and on-premises environments.
Requirements
10+ years of experience in SRE, DevOps, Platform Engineering, Infrastructure Engineering, or Production Operations, including 3+ years managing SRE, DevOps, Platform Engineering, or Operations teams.
7+ years leading automation initiatives with programming or scripting languages such as Python, Go, Java, or similar technologies.
2+ years of experience with AI/ML-driven operational use cases, including anomaly detection, predictive monitoring, intelligent alerting, and incident correlation.
7+ years of experience with AWS, Azure, or GCP, Kubernetes, container platforms, and modern CI/CD practices.
Deep knowledge of SRE principles, including SLIs, SLOs, error budgets, availability, resiliency, and operational excellence.
Expertise in enterprise monitoring, Dynatrace, logging, metrics, tracing, AIOps, and service health management.
Strong incident and crisis management, root cause analysis, problem management, automation, IaC, self-healing, distributed systems, scalability, and reliability experience.
Ability to influence and collaborate with engineering, infrastructure, security, architecture, and business leaders, with strong executive communication, governance, decision-making, and program leadership skills.
Culture & Benefits
Full-time employment in a collaborative, team-oriented environment focused on client success, integrity, creativity, continuous improvement, and shared accountability.
Benefits include 401(k) matching, health benefits, employee stock options, paid time off, and volunteer time off.
LPL supports professional impact through modern resources and opportunities to contribute to enterprise-wide reliability transformation.
Hiring process
Apply by logging in or creating an LPL account; principals only.
LPL communicates with applicants only from an @lplfinancial.com email address, does not conduct interviews in online chatrooms, and will not request payment or bank or credit card information during interviews.
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