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10 дней назад

AVP, DevOps Engineer (AI)

118 141 - 196 833$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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.
  • Establish SLOs, SLIs, error budgets, monitoring standards, operational readiness requirements, KPIs, and governance frameworks.
  • 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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