AVP, DevOps Engineer

LPL Financial•Fort Mill, SC

1d•$118,141 - $196,833

About The Position

LPL Financial is seeking an experienced AVP of DevOps Engineering to lead a team that builds and operates an AI-driven observability and reliability platform for enterprise-scale environments. The role oversees the strategy for monitoring LPL environments using Dynatrace and similar OpenTelemetry-based solutions, enabling intelligent automation and AI-powered operational capabilities, and promoting modern reliability engineering practices across the enterprise. The role combines engineering leadership, site reliability engineering, platform engineering, observability, and applied AI/ML. It focuses on team development, operational excellence, automation, and business alignment. The leader will guide reliability transformation across multiple business and technology organizations and work to improve service resilience, reduce mean time to resolution (MTTR), and prevent outages.

Requirements

10+ years of experience in Site Reliability Engineering (SRE), DevOps, Platform Engineering, Infrastructure Engineering, or Production Operations.
3+ years of engineering leadership experience managing SRE, DevOps, Platform Engineering, or Operations teams.
7+ years of experience leading automation initiatives using programming and 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 cloud platforms (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 leadership in major incidents, root cause analysis, problem management, and continuous service improvement.
Ability to drive intelligent automation, Infrastructure as Code (IaC), CI/CD, and self-healing platform capabilities.
Understanding of AI/ML applications for anomaly detection, predictive monitoring, alert correlation, and operational intelligence.
Strong knowledge of cloud platforms, Kubernetes, distributed systems, scalability, resilience, and reliability patterns.
Ability to influence and partner effectively with engineering, infrastructure, security, architecture, and business leaders.
Strong executive communication, decision-making, program leadership, operational governance, and results-driven execution skills.

Responsibilities

Lead, mentor, and develop a high-performing Site Reliability Engineering team focused on observability, reliability, automation, and operational excellence.
Define and execute the strategic roadmap for enterprise observability, AI-driven operations, and reliability engineering.
Establish and govern reliability standards, including SLOs, SLIs, error budgets, monitoring practices, and operational readiness requirements.
Drive adoption of enterprise observability solutions leveraging Dynatrace, including logs, metrics, traces, Real User Monitoring (RUM), and executive reporting dashboards.
Sponsor and oversee AI/ML-powered capabilities for predictive monitoring, anomaly detection, incident correlation, alert optimization, and root cause analysis.
Lead major incident management, post-incident reviews, and continuous improvement to reduce MTTR, incident recurrence, and operational toil.
Partner with application, infrastructure, cloud, security, and architecture teams to embed reliability, resilience, and operational best practices throughout the software lifecycle.
Champion self-healing and intelligent automation, ensuring automated remediation is secure, auditable, scalable, and aligned with governance requirements.
Drive platform engineering and Infrastructure-as-Code adoption across cloud and on-premises environments.
Establish metrics, KPIs, and operational governance frameworks to measure service health, team effectiveness, and reliability outcomes, and communicate progress to senior leadership and stakeholders.