AVP - Cloud Support Engineer

Where Ambition Meets Innovation

At LPL’s Global Capability Center, youll find a collaborative culture where your voice matters, integrity guides every decision, and technology fuels progress. Your skills, talents, and ideas will redefine whats possible. LPLs success reflects its exceptional employees, who together pursue one noble purpose: empowering financial advisors to deliver personalized advice for all who need it. We’re proud to be expanding and reaching new heights in Hyderabad.

Join us as we create something extraordinary together.

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.

When a production cloud incident hits a Tier 1 financial firm at 2 a.m., someone senior has to own it. As AVP, Cloud Support Engineer, youre that person — the senior escalation point for LPLs run-the-cloud function, taking the hardest tickets and incidents end-to-end and turning recurring toil into automated, self-service paths. If you want to operate AWS at scale with a globally distributed team across the US and India, this is your seat.

Job Overview:

As the AVP, Cloud Support Engineer, you are a hands-on senior cloud operations engineer in the Support team in LPLs Cloud Center of Excellence (CCOE) — the run-the-cloud function for LPLs AWS multi-account landing zone. You are the senior escalation point for the Support teams 24x7 Tier 1 / Tier 2 queue: you take the hardest tickets and production incidents end-to-end, own operational excellence, and decide when to pull in the Foundations pods (Security & Governance, FinOps, Functional Design Engineering & Strategy, Network Engineering, Monitoring), Platforms, Containers, or Delivery. You partner closely with the Monitoring pod within Foundations on alerting and runbooks. LPL is an AWS-first CCOE: a multi-account landing zone with 100+ private reusable Terraform modules that enable 60+ AWS services, delivered through Terraform Cloud and GitHub Actions. You spend the majority of your time hands-on in troubleshooting, runbooks, Terraform, and incident response — and you continuously turn repeatable requests into automated, self-service paths — across LPLs US offices and India Global Capability Center (GCC).

Responsibilities:

• Operate as a hands-on senior cloud support engineer: spend the majority of your time in production troubleshooting, runbook authoring and execution, Terraform changes, complex ticket resolution, and incident response — hands-on operations is the primary leverage point
• Serve as the senior escalation point for the Support teams Tier 1 / Tier 2 queue: take the hardest tickets and production incidents end-to-end, and decide when to pull in the Foundations pods (Security & Governance, FinOps, Functional Design Engineering & Strategy, Network Engineering, Monitoring), Platforms, Containers, or Delivery. Turn recurring toil into durable fixes: convert repeatable account / IAM / access requests and incident classes into self-service paths through the Account Factory for Terraform (AFT) and the private Terraform module library
• Own operational excellence for the run-the-cloud function: runbook quality, change-management discipline in ServiceNow, post-incident reviews, and SLA / operational metrics; partner with the Monitoring pod within Foundations to close monitoring and alerting gaps. Embed agentic AI capabilities into the teams engineering practice (e.g., Cursor, Claude Code, Bedrock, MCP servers, agentic IaC and review workflows) and into the platforms self-service experience for internal customers
• Use agentic AI capabilities to raise the run-the-cloud bar: AI-assisted triage and root-cause analysis, MCP-driven conversational self-service for common requests, automated runbook generation, and on-call copilots that summarize telemetry and chat during incidents
• Personally participate in 24x7 on-call rotations as a senior technical responder and escalation point for production incidents. Partner with peer engineers, AVPs, and VPs across the Cloud Center of Excellence — the five CCOE teams (Foundations, Platforms, Containers, Support, Delivery) and the five Foundations pods (Security & Governance, FinOps, Functional Design Engineering & Strategy, Network Engineering, Monitoring) — to align roadmaps and remove cross-team and cross-pod blockers
• Raise engineering quality across the pod through code review, design partnership, and technical pairing — acting as a force multiplier without direct reports. Participate in Agile/Scrum ceremonies (sprint planning, standups, backlog grooming, retrospectives) and partner with the RTE and PMO on delivery commitments and dependencies

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:

• 12+ years of progressive technical experience including 5+ years in a senior cloud security, network security, or cloud infrastructure engineering role; Bachelors degree in Computer Science, Engineering, or a related discipline (or equivalent work experience)
• 5+ years of hands-on production AWS at scale in a multi-account landing zone with strong production Terraform delivered through Terraform Cloud and GitHub Actions
• Demonstrated experience operating as a senior individual contributor (AVP, Senior Engineer, Staff Engineer, or equivalent), influencing technical direction and uplifting peer engineers without direct authority — including code review leadership, design-review participation, and technical mentorship
• Experience personally participating in 24x7 production on-call rotations in a fast-paced, security-conscious, regulated environment (financial services strongly preferred)
• Demonstrated experience as a senior engineer on a production cloud operations / support function: leading incident response as an escalation point, owning change management (ServiceNow or comparable ITSM), and driving runbook and automation improvements that reduce toil

Core Competencies:

• Player-coach who is comfortable in code reviews, architecture sessions, and people 1:1s in the same day. Continuous learner, especially in cloud-native, IaC, platform engineering, and applied AI
• Sets vision and translates ambiguous strategy into executable engineering roadmaps. Bias for self-service, automation, and reducing toil for downstream internal customers
• Builds high-trust relationships across the US and India organization and across functions (Architecture, Security, FinOps, Application Engineering, Network, Audit). Calm, decisive incident commander; fosters a strong post-incident learning culture
• Excellent written and verbal communication, executive presence, and ability to influence without direct authority. Thrives in matrixed, fast-paced, regulated environments with imperfect information

Preferences:

• Masters degree in Computer Science, Engineering, or MBA. Experience building, scaling, or leading globally distributed engineering teams across the US and India / GCC
• Experience integrating agentic AI / GenAI tooling (Cursor, Claude Code, Copilot, Bedrock, MCP) into platform, IaC, and engineering practice. Strong scripting / programming proficiency in Python, Bash, or PowerShell
• AWS Solutions Architect - Professional. AWS Certified Generative AI Developer - Associate. Certified Kubernetes Application Developer (CKAD)
• HashiCorp Certified: Terraform Associate (004) or Authoring & Operations. Open-source contributions, public technical writing, or conference speaking on cloud, IaC, or platform engineering topics
• Experience with Backstage or another Internal Developer Platform (IDP). Experience with FinOps practices and cloud cost management at scale

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