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Electrical Engineer I, Data Centers - Remote (U.S.)
AECOM
Remote, United States
- $90,000 to $125,000 USD / year
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Added 1 min ago
Building Engineer II
C&W FACILITY SERVICES INC.
CO
…skills, and a desire to grow professionally within a structured development program. This position offers a defined pathway to promotion into a Building Engineer III (Senior Building…
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Senior Industrial Engineer
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Mission Systems Department Head
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Senior Process Mechanical Engineer, Power
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Sr Strategic Advisor, Global Growth
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- $300 to $400 USD / hour
We are seeking a Part-Time Senior Strategic Advisor, Global Growth to join our team in Denver, CO.
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Cyber Systems Engineer – Vulnerability Management
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Added 17 mins ago
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Distinguished, Software Engineer
Walmart
SUNNYVALE, CA
- $169,000 to $338,000 USD / year
As a senior technical leader, you will partner closely with Engineering, Product, Business, Customer Experience, Payments, Fulfillment, and Platform teams to establish the long-term…
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Staff, Software Engineer - Full Stack
Walmart
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Actively mentor and grow Senior Software Engineers (L5); lead architecture working groups and communities of practice; champion AI-augmented development (Wibey, GitHub Copilot) as a team…
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Part-Time Mission Analysis Engineer - Millennium Space Systems
Millennium Space Systems
El Segundo, CA
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The Mission Analysis Engineering team is focused on (a) design and development of Concepts of Operations (CONOPS) and Design Reference Missions (DRMs) from key customer requirements; (b)…

LPL Financial Corp

AVP, DevOps Engineer

Austin, TX, United States

$118,141.00 - $196,833.00

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Job details

Pay: $118,141.00 - $196,833.00
Posting language: English
Posted: Nov 4, 2026

Original job description

Where Ambition Meets Innovation

Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you’ll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.

We are seeking an experienced AVP of DevOps Engineering to lead a team responsible for building and operating an AI-driven observability and reliability platform for enterprise-scale environments. This leader will 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.

The SRE lead will be responsible for analyzing logs, metrics, and traces, implementing dynamic alerting frameworks, and delivering self-healing capabilities that reduce MTTR, improve service resilience, and prevent outages. This role combines engineering leadership, SRE, platform engineering, observability, and applied AI/ML, with a strong focus on team development, operational excellence, automation, and business alignment.

The ideal candidate will have a proven track record of leading high-performing SRE, DevOps, or Platform Engineering teams in large-scale, mission-critical environments and driving reliability transformation initiatives across multiple business and technology organizations.

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.

What are we looking for? We’re looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.

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.

Core Competencies:

Site Reliability Engineering Expertise – Deep knowledge of SRE principles, including SLIs, SLOs, error budgets, availability, resiliency, and operational excellence.
Observability & Monitoring Leadership – Expertise in enterprise monitoring, Dynatrace, logging, metrics, tracing, AIOps, and service health management.
Incident & Crisis Management – Strong leadership during major incidents, root cause analysis, problem management, and continuous service improvement.
Automation & Platform Engineering – Ability to drive intelligent automation, Infrastructure as Code (IaC), CI/CD, and self-healing platform capabilities.
AI-Driven Operations (AIOps) – Understanding of AI/ML applications for anomaly detection, predictive monitoring, alert correlation, and operational intelligence.
Cloud & Distributed Systems Architecture – Strong knowledge of cloud platforms, Kubernetes, distributed systems, scalability, resilience, and reliability patterns.
Stakeholder Management & Cross-Functional Collaboration – Ability to influence and partner effectively with engineering, infrastructure, security, architecture, and business leaders.
Communication, Governance & Execution – Strong executive communication, decision-making, program leadership, operational governance, and results-driven execution skills.

Pay Range:

$118,141.00 - $196,833.00

Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play – such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!

Company Overview:

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. Please log in or create an account to apply to this position. Principals only. EOE.

Information on Interviews:

LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant’s bank or credit card. Should you have any questions regarding the application process, please contact LPL’s Human Resources Solutions Center at (855) 575-6947.

EAC 5.19.26

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More about this job

Skills

DevOps
Lead a team
Dynatrace
Reporting
ML
Root cause analysis
Process improvement
Infrastructure as code
Leadership
Python
Go
Oracle Java
AWS
Microsoft Azure
Google Cloud
Kubernetes
CI/CD
Stakeholder management
Collaboration
Communication skills
Decision making

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