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About the Role

Lead a team responsible for building and operating an AI-driven observability and reliability platform for enterprise-scale environments. Oversee the organization's strategy for monitoring LPL environments using Dynatrace and similar OTEL, enable the development of intelligent automation and AI-powered operational capabilities, and drive adoption of modern reliability engineering practices across the enterprise.

Responsibilities

Lead, mentor, and develop a high-performing team of Site Reliability Engineers focused on observability, reliability, automation, and operational excellence.
Define and execute the strategic roadmap for enterprise observability, AI-driven operations, and reliability engineering across the organization.
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 implementation of AI/ML-powered capabilities for predictive monitoring, anomaly detection, incident correlation, alert optimization, and root cause analysis.
Lead major incident management processes, post-incident reviews, and continuous improvement initiatives 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 strategies, ensuring automated remediation capabilities are secure, auditable, scalable, and aligned with governance requirements.
Drive platform engineering and Infrastructure-as-Code adoption to improve system reliability, scalability, and operational efficiency across cloud and on-premises environments.
Establish metrics, KPIs, and operational governance frameworks to measure service health, team effectiveness, and reliability outcomes while communicating progress to senior leadership and stakeholders.

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 experience leading automation initiatives using programming and scripting languages such as Python, Go, Java, or similar technologies.
2+ years experience of AI/ML-driven operational use cases, including anomaly detection, predictive monitoring, intelligent alerting, and incident correlation.
7+ years 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 during 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.

Skills

Site Reliability Engineering
Observability
Monitoring
AI/ML
Automation
Platform Engineering
Cloud Platforms (AWS, Azure, GCP)
Kubernetes
CI/CD
Infrastructure as Code (IaC)
Dynatrace
Python
Go
Java

Location

Remote

Work Type

Full-time

Experience Level

AVP
10+ years of experience
3+ years of engineering leadership experience
7+ years experience leading automation initiatives
2+ years experience of AI/ML-driven operational use cases
7+ years experience with cloud platforms

Salary/Compensations

$118,141.00 - $196,833.00

Benefits

401K matching
Health benefits
Employee stock options
Paid time off
Volunteer time off

About the Company

LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com.
At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.
For further information about LPL, please visit www.lpl.com.
Join the LPL team and help us make a difference by turning life’s aspirations into financial realities.

Equal Opportunity

Principals only. EOE.