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Lead with Purpose, Unlock Your Team’s Passion At LPL, people leaders hold the key to the employee experience — shaping culture, driving performance, and guiding individuals to new heights. Because when that happens, we all win – clients, LPL, and most importantly our, employees. If you're ready to lead with intention and discover what’s possible, LPL Financial invites you to apply today. Kubernetes at LPL is where an AWS-first cloud strategy meets the daily operational reality of a Tier 1 financial firm. We run Amazon EKS across a multi-account landing zone, partner with FinOps to make every node count, and deliver a paved-road, self-service experience that gets application teams to production safely and quickly. If you want to set the multi-year direction for containers — including potential expansion into ECS and OpenShift on-prem — while staying hands‑on in cluster upgrades and incident command and leading a globally distributed team across the US and India, this is your seat.

As the VP, Container Engineering, you lead the Containers team in LPL's Cloud Center of Excellence (CCOE). You own the strategy, architecture, implementation, and operations of LPL's container platform — primarily Amazon EKS — across our multi-account landing zone, and you set the direction for potential expansion into ECS as a workload-migration target and OpenShift on-premises as a hybrid runtime. You partner closely with the FinOps pod (within Foundations) to make EKS more cost-effective while improving stability, and you deliver a paved-road, self-service experience for application teams. LPL is an AWS-first CCOE: a multi-account landing zone with 100+ private reusable Terraform modules that enable 60+ AWS services, all delivered through Terraform Cloud and GitHub Actions. You are both a people leader for a globally distributed team across the US and LPL's India GCC and a hands‑on senior platform engineer who contributes directly to cluster upgrades, Terraform/Helm modules, and incident response.

• Lead the Containers team in CCOE: own the strategy, architecture, implementation, and operations of LPL's container platform — primarily Amazon EKS — across the multi-account landing zone.


• Set the multi-year container strategy: cluster topology, multi‑tenancy, upgrade cadence, supported add‑ons, ingress, service mesh (where applicable), GitOps (ArgoCD/Flux), and CI/CD integration.


• Partner closely with the FinOps pod (within Foundations) to drive container cost efficiency: Karpenter, Spot, right‑sizing, namespace chargeback, Kubecost or equivalent, cost‑anomaly detection, and platform‑level FinOps guardrails.


• Drive platform stability, reliability, and SRE practices: SLOs, golden signals, error budgets, capacity planning, controlled upgrades, and blast‑radius reduction.


• Deliver a self‑service container experience for application teams: opinionated Terraform/Helm modules, golden paths, scaffolding, namespace vending, RBAC automation, and Internal Developer Platform (Backstage‑class) integration.


• Co‑own multi‑account landing zone integration for containers in partnership with the Network Engineering, Security & Governance, FinOps, and Functional Design Engineering & Strategy pods within Foundations (IRSA, Pod Identity, network policy, Network Firewall integration, image signing, runtime defense).


• Lead the evaluation, design, and (if approved) operationalization of additional workload runtimes: ECS as a workload‑migration target for cost and operational simplicity, and potential support for OpenShift on‑premises as a hybrid runtime.


• Embed agentic AI capabilities into the team's engineering practice (e.g., Cursor, Claude Code, Bedrock, MCP servers, agentic IaC and review workflows) and into the platform's self‑service experience for internal customers.


• Embed agentic AI capabilities into the container platform and developer workflow: AI‑assisted manifest generation, automated upgrade impact analysis, copilots for cluster operators, and MCP‑backed agents for self‑service.


• Recruit, develop, mentor, and retain a globally distributed team of senior cloud engineers across LPL's US offices and India Global Capability Center (GCC).


• Own all people‑management responsibilities for the pod including hiring, onboarding, weekly 1:1s, performance management, compensation planning, career development, and certification‑path execution per the CCOE certification matrix.


• Operate as a player‑coach: spend meaningful time hands‑on in Terraform code, design reviews, peer reviews, and incident response while leading people and delivery.


• Lead and personally participate in 24x7 on‑call rotations as senior incident commander and technical escalation point for the pod.


• Partner with peer VPs across the Cloud Center of Excellence — the leaders of the five CCOE teams (Foundations, Platforms, Containers, Support, Delivery) and the leaders of the pods within Foundations (Security & Governance, FinOps, Functional Design Engineering & Strategy, Network Engineering, Monitoring) — to align roadmaps and remove cross‑team and cross‑pod blockers.


• Champion AWS Well‑Architected Framework adoption across all six pillars and drive continuous improvement against operational, security, reliability, performance, cost, and sustainability outcomes.


• Contribute to and curate the private Terraform module library that powers self‑service infrastructure for application teams, including module standards, versioning, deprecation, and contribution patterns.


• Participate in Agile/Scrum ceremonies (sprint planning, standups, backlog grooming, retrospectives) and partner with the RTE and PMO on delivery commitments and dependencies.


• Represent the pod in executive forums, architecture review boards, internal audit, and customer engagements; communicate technical risk and trade‑offs to non‑technical executives.

• 10+ years of progressive technical experience including 5+ years in cloud infrastructure or platform engineering leadership; Bachelor's 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 4+ years of authoring production Terraform in a private module ecosystem delivered through Terraform Cloud and GitHub Actions.


• 1+ year experience as a direct people manager or Technical team lead of engineering teams of 5+ engineers, including hiring, performance management, compensation, and difficult personnel decisions.


• 5+ years experience leading and personally participating in 24x7 production on‑call rotations in a fast‑paced, security‑conscious, regulated environment (financial services strongly preferred).


• 4+ years of operating Amazon EKS at scale in production (multi‑cluster, multi‑account, regular controlled upgrades) with Terraform and Helm, in active partnership with a FinOps function.

• Pragmatic technology selection: chooses the right runtime (EKS, ECS, or OpenShift) for the workload and the constraints, rather than defaulting to one answer.


• Strong cost‑ownership instincts paired with deep technical expertise in Kubernetes, AWS, and IaC.


• 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.

• Experience operating ECS in production and/or migrating workloads between ECS and EKS.


• Experience operating OpenShift on‑premises (OCP, OKD) and/or hybrid Kubernetes patterns.


• Experience with service mesh (Istio, App Mesh, Linkerd) in regulated environments.


• Strong experience with GitOps (ArgoCD or Flux), Karpenter, IRSA / EKS Pod Identity, network policy, and image supply chain.


• Certified Kubernetes Administrator (CKA).


• Certified Kubernetes Security Specialist (CKS).


• Master’s 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.


• HashiCorp Certified: Terraform Associate (004) or Authoring & Operations.


• Certified Kubernetes Application Developer (CKAD).


• 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.

Pay Range: $149,350.00 - $248,848.00 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.

• 401K matching


• health benefits


• employee stock options


• paid time off


• volunteer time off


• and more

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.

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.

Principals only.

EOE.